Aktuelle Jobs im Zusammenhang mit PhD Student Position in Optimal Transport and Machine Learning - Berlin, Berlin - Weierstraß-Institut für Angewandte Analysis und Stochastik
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Berlin, Berlin, Deutschland Weierstraß-Institut für Angewandte Analysis und Stochastik VollzeitPhD Researcher Position in Optimal Transport and Machine LearningWe are seeking a highly motivated PhD researcher to join our team at the Weierstraß-Institut für Angewandte Analysis und Stochastik. The successful candidate will work on a project focused on optimal transport and machine learning, with a strong emphasis on rigorous training in machine...
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Berlin, Berlin, Deutschland Weierstraß-Institut für Angewandte Analysis und Stochastik VollzeitPhD Researcher in Optimal Transport and Machine LearningWe are seeking a highly motivated PhD researcher to join our team at the Weierstraß-Institut für Angewandte Analysis und Stochastik. The successful candidate will work on a project focused on optimal transport and machine learning, with a strong emphasis on rigorous training in machine learning and...
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Berlin, Berlin, Deutschland Weierstraß-Institut für Angewandte Analysis und Stochastik VollzeitPhD Researcher Position in Optimal Transport and Machine LearningWe are seeking a highly motivated researcher to join our team at the Weierstraß-Institut für Angewandte Analysis und Stochastik. As a PhD researcher in optimal transport and machine learning, you will work closely with Dr. Jia-Jie Zhu to develop principled optimal transport theory and apply...
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PhD Researcher Position
vor 3 Wochen
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PhD Researcher Position
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Berlin, Berlin, Deutschland Weierstrass Institute for Applied Analysis and Stochastics (WIAS) VollzeitJob Opportunity: We are seeking a highly motivated PhD student to join our Research Group in the Weierstrass Institute for Applied Analysis and Stochastics (WIAS).Research Focus: The successful candidate will work on the analysis of optimization problems with partial differential equations under uncertainty, focusing on the design and implementation of...
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Berlin, Berlin, Deutschland Weierstraß-Institut für Angewandte Analysis und Stochastik VollzeitPhD Student Position in Optimization with Partial Differential EquationsWe are seeking a highly motivated PhD student to join our research group in optimization with partial differential equations. The successful candidate will have a strong background in mathematical optimization and good experience with the theory and numerical methods for partial...
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PhD Student Researcher
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Berlin, Berlin, Deutschland Weierstrass Institute for Applied Analysis and Stochastics (WIAS) VollzeitPhD Student Position in Optimization with Partial Differential EquationsWe are seeking a highly motivated PhD student to join our Research Group in Optimization with Partial Differential Equations. The successful candidate will have the opportunity to work on challenging problems in optimization and partial differential equations, and contribute to the...
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Senior Machine Learning Researcher
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Senior Machine Learning Research Scientist
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Berlin, Berlin, Deutschland Pfizer VollzeitRole SummaryPfizer's Machine Learning Hub is seeking a highly skilled machine learning researcher to design and implement new machine learning tools to accelerate drug discovery. As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable...
PhD Student Position in Optimal Transport and Machine Learning
vor 1 Monat
We are seeking a highly motivated PhD student to join our research team at the Weierstraß-Institut für Angewandte Analysis und Stochastik. The successful candidate will work on a project focused on optimal transport and machine learning, with a strong emphasis on rigorous training in machine learning and optimization.
The PhD student will be part of our Data-driven Optimization and Control group, led by Dr. Jia-Jie Zhu. The group's research focuses on developing novel methods for data-driven optimization and control, with applications in machine learning and optimal transport.
The PhD student will have the opportunity to work on a range of topics, including robustness in machine learning, causal inference, and probabilistic machine learning. The project is funded by the German Research Foundation (DFG).
We are looking for a candidate with a strong background in computer science, statistics, or applied mathematics, with a special focus on machine learning and optimization. The ideal candidate will have a master's degree and a strong research record, with a focus on optimal transport and machine learning.
The PhD student will receive close mentorship and support from our team, with opportunities for collaboration and knowledge sharing. We offer a competitive salary and benefits package, including a company pension plan and mobile working arrangements.
Our institute is committed to diversity and inclusion, and we welcome applications from candidates from underrepresented groups. We are an equal opportunities employer and are committed to creating a welcoming and inclusive environment for all employees.
Please submit your application, including your CV, cover letter, and master's thesis, via our applicant portal. We look forward to receiving your application.
