PhD Position: Deep Learning for Medical and Scientific Imaging
Vor 6 Tagen
PhD Position: Deep Learning for Medical and Scientific Imaging 12.01., Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 %; initial contract 1.5–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing, with a current focus on foundation models, data-centric research, and applications to scientific and medical imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences * Knowledge in machine learning or medical imaging is a plus * Driven, with a strong work ethic and desire to do high-quality research TUM is consistently ranked among the best universities in Europe and as the top technical university in Germany. Our group is part of the School of Computation, Information and Technology, and we collaborate internationally with groups in the US and Europe. We Offer: * A fully funded position (TV-L E13 %) * An engaging research project in a diverse, collaborative team * The opportunity to earn a PhD at a world-class institution Please send your application to . Include: * A brief letter explaining your interest in this project and our work * Your CV * Transcripts of grades We value thoughtful applications over formality, but will not consider incomplete or generic submissions. The position is open until filled. We plan to fill the position as soon as possible, and review of applications starting mid-February. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
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Medical Scientific Liaison
vor 2 Wochen
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Munich, Deutschland LMU Klinikum VollzeitScope of dutiesIn a multi-institutional research project funded by the German Research Foundation (DFG), a Postdoc position investigating the use of AI models for markerless lung tumor tracking during cone-beam CT (CBCT)-guided radiotherapy is open at the Department of Radiation Oncology of the LMU Munich University Hospital (Prof. Guillaume Landry & PD...
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PhD Position
vor 2 Wochen
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Medical Scientific Liaison
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Deep Learning and Data Engineer
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PhD position
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Munich, Deutschland Technical University of Munich VollzeitPhD position (m/f/d) in Neuroimmunology and Glial Biology 29.11., Wissenschaftliches Personal Start: February | Location: Technical University of Munich, University Hospital rechts der Isar The Laboratory for Immune-Glia Interactions in CNS Disorders (Institute for Experimental Neuroimmunology, PI: PD Dr. med. Ali Maisam Afzali) is recruiting a highly...
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Munich, Bayern, Deutschland Sobi VollzeitCompany Description Sobi offers the opportunity to work at an international pharmaceutical company focused on specialty pharmaceuticals meeting the high medical needs of rare disease patients and providing treatment and services to them. Our employees come from a variety of backgrounds within research, healthcare, industry and the academic sphere. Job...
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Munich, Bayern, Deutschland Huawei VollzeitHuawei's Heisenberg Research Center (Munich)is responsible for advanced technology research, architectural development, design and strategic engineering of our products.The Advanced Wireless Technologies Lab (AWTL)is responsible for research activities towards the definition and development of mobile network technologies and communication systems for...
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Working Student
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