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Organisation Job description Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio
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disordered proteins. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio
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crafting, material recycling and reuse, sustainable bio-design, and robotic manufacturing. The PhD student will be guided by leading researchers in architectural computational design and robotic fabrication
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: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG
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Theoretical Bio- and Neurophysics Nonlinear Dynamics 4. Biophysics 5. Computational Materials Science Regarding Electrical Engineering, the following institutes are part of the programme: Institute
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Environmental informatics is understood to be an integrated subject consisting of bio-, eco- and
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modelling, and prediction tools. Fouling Control Coatings Fouling Control is performed by specifically designed materials to remove or prevent biofouling from i.e. ship hulls, as bio fouling leads
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well as German language courses and courses on scientific English Industry excursions to biotechnological, pharmaceutical, optical or (bio)physical companies, guided by GGNB alumni Student-organised scientific symposia and
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cells, focusing on dynamic processes in the primordial ocean. 3) We engineer bio-inspired, energy-efficient materials to address pressing societal and environmental challenges. The Kegel group works on
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biomedicine. Our engineering approach to all aspects of biotechnology and biomedicine positions us as a valuable player with unique competences in a growing bio-based economy and with health systems