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that demand interdisciplinary solutions? Then the Program for Collaborative Doctoral Projects is the perfect opportunity for you. Many of today’s most pressing problems can only be tackled through
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the English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with
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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training
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will be funded for three years with possibility of extension and have to enroll in a PhD program at the Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences ( GGNB – collaboration
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by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Job ID: TRR408
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Description The International Research Training Group (IGK 2495) “Energy Conversion Systems: From Materials to Devices” at the Friedrich-Alexander-Universität Erlangen-Nürnberg offers 11 doctoral researcher positions for projects related to photo-electro-mechanical energy harvesting systems,...
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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two part-time positions (65%) as Doctoral Researcher (PhD Position, m/f/d) in the field of Neurobiology In accordance with § 2 of the WissZeitVG and § 72 HessHG, the positions are to be filled on a
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-RTG PhD student, you will be integrated into the International PhD Programme (IPP; https://www.imb.de/phd ), which is organized by IMB ( www.imb.de ). The IPP offers an exciting, interdisciplinary
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Program for Collaborative Doctoral Projects, please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering a Collaborative Doctoral Project (PhD Position) – Computationally-Enabled