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candidate is at Hebelstrasse 20, 4031 Basel. Projects: Targeting on corpus luteum–derived endocrine signals in decidualization and endothelial function. In parallel we investigate the pathomechanisms
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thermo-electric devices onto non-planar metallic substrates. In a parallel track, the team will develop techniques for the design and manufacture of the structures with predictable material properties
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summary of the latter see: p3.snf database In parallel we investigate the role of PI3K in allergy, metabolic control, obesity, diabetes and cancer. To design, execute and analyze biochemical, biophysical
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opportunities but requires robust biological protocols and stable bioelectronic interfaces. In parallel, biomolecules and their complexes can be probed and controlled using CMOS micro-/nano-electronics, enabling
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parallel and distributed systems, including performance tuning Programming and tooling such as C/C++, Python, CUDA, OpenMP, and Spack Linux-based systems, scripting, Slurm, and general systems engineering
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properties. In parallel, they continuously sense and respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and