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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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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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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
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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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agricultural sciences or a related field Several years of research experience in field crop phenotyping Good statistical and programming skills (e.g. in R or Python) Evidence of research excellence through peer
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV