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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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Are you fascinated by controlling magnetic matter by femtosecond laser pulses, eager to explore the underlying physical mechanisms, and passionate to develop a generic tool to ‘print’ complex
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30.07.2026 Application deadline : 31.08.2026 The Institute for Theoretical Physics at the University Tübingen is looking to fill a PhD Position in Quantum Metrology or Quantum Information Theory (f
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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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physics and building high performance imaging systems. She or he has a demonstrable interest in optics, signal processing, and mathematics or machine learning. The candidate should have an MSc degree in
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. Your work will include a substantial amount of laboratory activity related to polymer processing. You will prepare and process various blends using techniques such as extrusion, compounding and injection
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measurements and process-based modelling to identify the mechanisms linking vegetation, soil microorganisms and ecosystem carbon cycling. The project spans laboratory, field and ecosystem scales and combines
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
How do molecular interactions give rise to biological function? How can materials acquire adaptive behaviour and process information? Although these questions arise in different scientific