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families using phylogenetic and structural approaches. · Investigating how functional sites (e.g., catalytic or interaction interfaces) emerge and are maintained as highly frustrated regions. · Quantifying
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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positioning of results for partnerships, licensing, or venture creation. Your profile PhD (or equivalent experience) in Computational Biology, Bioinformatics, Systems Biology, Machine Learning, or a related
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). • Participation in end-effector development (mechanical integration, gripping/positioning, F/T sensing; support in choosing tip geometry, stud magazine, and interfaces to the vacuum chamber). • Co-development
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3 Mar 2026 Job Information Organisation/Company Humboldt-Universität zu Berlin Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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le CO adsorbé, ainsi que leur évolution sous irradiation. L'objectif est d'identifier le rôle du support YSZ, des lacunes d'oxygène et des interfaces métal–support dans l'activation et la réduction du
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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dimensions • Soft matter and the physics-biology interface The first area covers both experimental and theoretical studies relating to the properties of systems in which electronic correlations are generally
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research teams. The programme offers an outstanding research environment designed to foster innovation, international collaboration and strong societal impact. Where to apply Website https://aap.univ-pau.fr