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engineering, cell programming, and chemical–biological interfacing to engineer human cells using synthetic gene circuits and biosensing platforms, develop novel biosensing systems for real-time monitoring
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combine molecular engineering, cell programming, and chemical–biological interfacing to engineer human cells using synthetic gene circuits and biosensing platforms, develop novel biosensing systems for real
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further development at both Bachelor and Master level. The successful candidate is expected to teach 2–4 hours per week during the semester in English or German for the new BSc and MSc programs “Applied
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therapy program as part of a recently awarded ERC Consolidator Grant.
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collection in human participants Strong programming skills (e.g., MATLAB, Python) and interest in computational approaches Experience with analyzing electrophysiological data and/or fMRI data A solid
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transdisciplinary knowledge. Job description We offer a full doctoral student position in our research group. The doctorate will be conducted within the Einstein School’s doctoral program and is expected to be
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, programming, and operation of DIW equipment Determination of optimal debinding and sintering steps Characterization of the sintered materials: density, microstructure, defects, shrinkage, possible distortions
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, retrieval products) Strong programming skills in Python Experience in machine learning, ideally including deep learning architectures such as graph neural networks, transformers, or spatio-temporal models
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Each doctoral student will lead a coherent subproject within this broader research program: Position 1: AI for Computational Thinking Focuses on designing and studying AI-assisted programming
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Required Experience: PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field Proven experience in GNSS data analysis and processing Very good programming skills (e.g., Python