189 programming-"https:" "https:" "https:" "BioData" positions at Technical University of Munich
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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Bewerbung, abrufbar unter https://portal.mytum.de/kompass/datenschutz/Bewerbung/. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent
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Freising, Germany Tel. +49 8161 71 3961 patrick.bienert@tum.de https://www.mls.ls.tum.de/en/cropphys/home/ www.tum.de The position is suitable for disabled persons. Disabled applicants will be given
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conferences (e.g., Nature portfolio, MICCAI, NeurIPS, ICML, CVPR/WACV) • Experience with multimodal representation learning and/or vision-language models in a medical context • Strong programming skills in
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Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering principles and machine
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Learning with experience in discriminative models, domain adaptation, and variational inference. Excellent analytical, technical, and problem solving skills Excellent programming skills in Python and PyTorch
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our website (https://www.cda.cit.tum.de/research/quantum/ ) and open-source implementation referred therein. We see ourselves as an interface between the stakeholders building physical quantum
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) on the collection and processing of personal data in connection with your application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information
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, ecology, mathematics, or a related field Strong programming skills, preferably in Python (experience with scientific computing, ML frameworks, high performance computing and geospatial data are highly
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: k.alim@tum.de More Information https://www.bpm.ph.tum.de/join-us/