16 coding-post-doctoral-"EPIC"-"EPIC" Postdoctoral scholarships at Technical University of Munich
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] Subject Areas: Applied Mathematics, numerical methods, simulation and modelling Appl Deadline: 2025/05/31 11:59PM (accepting applications posted 2025/02/13) Position Description: Position Description
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applications posted 2024/12/03, updated 2025/05/20, listed until 2025/07/15) Position Description: 2025/07/15 11:59PM Position Description The Technical University of Munich (TUM) welcomes applications for a PhD
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. Previous Work https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530091 https://mediatum.ub.tum.de/doc/1687691/ltbbjgwihiht96fqfeblxdyj7.ITSC22_CommonOcean.pdf Job Specifications For PhD applicants
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environment ▪ Full-time position (TV-L E13) with the possibility of earning a doctoral degree or postdoc To apply Please send us your application by e-mail (jobs@lnt.ei.tum.de) with the following documents
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also on power systems in the CoSES lab at the Technical University of Munich. Previous Work https://mediatum.ub.tum.de/doc/1731060/g5zgxaj96lcyhh8gh6le1xbuu.Wetzlinger-2023-TAC.pdf https
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- Post Doc Applicants Only: academic track record with publications at top-tier venues in computer vision, graphics, or machine learning (CVPR, ECCV/ICCV, Siggraph, Siggraph Asia, NeurIPS, ICML, ICLR) How
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per E-Mail mit dem Betreff „PostDoc application“ oder „PhD application“ an application@zachegroup.com . Ihre Bewerbung sollte folgende Unterlagen enthalten: • Motivationsschreiben (max. 1 Seite
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
are searching for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research