Aktuelle Jobs im Zusammenhang mit PhD Researcher in Efficient Neural Representation of Datasets - Renningen, Baden-Württemberg - Robert Bosch GmbH
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. The successful candidate will be working on developing novel deep generative models for efficient neural representation of datasets.The goal of this project is to develop new learning algorithms for generating...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. The successful candidate will be working on developing novel deep generative models for efficient neural representation of datasets.The goal of this project is to develop new learning algorithms for generating...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. As a PhD researcher, you will be working on developing novel approaches to adapt deep generative models as data sources to better train and validate downstream models.The goal of this PhD project is to develop...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. As a PhD researcher, you will be working on developing novel approaches to adapt deep generative models as data sources to better train and validate downstream models.The goal of this PhD project is to develop...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. The successful candidate will be working on developing novel approaches to adapt deep generative models as data sources to better train and validate downstream models.The goal of this PhD project is to develop...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. The successful candidate will be responsible for developing novel approaches to adapt deep generative models as data sources to better train and validate downstream models.The ideal candidate will have a strong...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsRobert Bosch GmbH is seeking a PhD researcher to contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems.The successful candidate will research innovative Neuro-Symbolic methods to improve knowledge graph...
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Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title:PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsJob DescriptionBosch is seeking a highly motivated PhD researcher to work on a project focused on explainable knowledge graph completion for intelligent manufacturing systems. The successful candidate will contribute to the development of novel...
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Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title:PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsJob DescriptionBosch is seeking a highly motivated PhD researcher to work on a project focused on explainable knowledge graph completion for intelligent manufacturing systems. The successful candidate will contribute to the development of novel...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsRobert Bosch GmbH is seeking a PhD researcher to contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems.The successful candidate will research innovative Neuro-Symbolic methods to improve knowledge graph...
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Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob DescriptionKnowledge Graphs (KGs) play a crucial role in Smart Manufacturing, enabling the harmonization and sharing of data across various applications. However, the heterogeneity and quality issues in these graphs necessitate continuous updates and improvements through knowledge graph completion (KGC) methods like Link Prediction or Node...
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Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob DescriptionProject OverviewKnowledge Graphs (KGs) have proven to be a key factor in fostering the success of Smart Manufacturing systems. In these contexts, data needs to be semantically harmonized and made available for various applications.Due to the high level of heterogeneity and underlying data quality, continuous updating and improvement of KGs...
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Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title: PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsAt Bosch, we are seeking a highly motivated PhD researcher to join our team and contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems. The successful candidate will work on innovative...
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Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title: PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsAt Bosch, we are seeking a highly motivated PhD researcher to join our team and contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems. The successful candidate will work on innovative...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH to work on a project focused on Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems.The successful candidate will have the opportunity to work on a...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH to work on a project focused on Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems.The successful candidate will have the opportunity to work on a...
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Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title: PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsJob Description:Knowledge Graphs (KGs) have proven to be a key factor in fostering the success of Smart Manufacturing. The data generated in these contexts needs to be semantically harmonized and made available for a myriad of applications. However, due...
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Renningen, Baden-Württemberg, Deutschland Bosch Gruppe VollzeitJoin Our Team as a PhD Researcher in Explainable Knowledge Graph CompletionWe are seeking a highly motivated PhD researcher to join our team at Bosch Gruppe. As a PhD researcher, you will be working on the development of explainable knowledge graph completion methods for intelligent manufacturing systems.Key Responsibilities:Develop and implement novel...
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Renningen, Baden-Württemberg, Deutschland Bosch Gruppe VollzeitJoin Our Team as a PhD Researcher in Explainable Knowledge Graph CompletionWe are seeking a highly motivated PhD researcher to join our team at Bosch Gruppe. As a PhD researcher, you will be working on the development of explainable knowledge graph completion methods for intelligent manufacturing systems.Key Responsibilities:Develop and implement novel...
PhD Researcher in Efficient Neural Representation of Datasets
vor 1 Monat
We are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. As a PhD researcher, you will be working on developing novel approaches to adapt deep generative models as data sources to better train and validate downstream models.
The goal of this PhD project is to develop new learning algorithms for generating relevant data "on demand" in response to the need of the target network. This includes improving training efficiency by synthesizing the most relevant data, enforcing desired invariance by creating examples, and more.
Responsibilities- Develop novel approaches to adapt deep generative models as data sources to better train and validate downstream models.
- Exploit the controllability and knowledge present in generative base models to move past seeing datasets as just a collection of images.
- Discuss and develop new ideas within the deep learning and computer vision experts at Bosch Center for AI.
- Contribute to the development of new learning algorithms for generating relevant data "on demand".
- Excellent degree in Computer Science or related field with focus on Computer Vision and Deep Learning.
- Strong background in deep learning and computer vision, experience with deep learning frameworks (TensorFlow, PyTorch, etc.), strong programming skills, in particular Python.
- Knowledge and experience in deep generative modeling as well as foundation models are a plus.
- Experience with publication of peer-reviewed research papers is beneficial.
We offer a dynamic and international work environment, a competitive salary, and a comprehensive benefits package. As a PhD researcher at Robert Bosch GmbH, you will have the opportunity to work on cutting-edge research projects and collaborate with a team of experts in the field.
We are an equal opportunities employer and welcome applications from all qualified candidates. Please submit your application, including your curriculum vitae, certificates, and a cover letter, to kevin.heiner@de.bosch.com.
