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MSCA Doctoral Network position “Electric solar wind sail mission design” We are now looking for two (2) Doctoral Researchers. This PhD topic is part of the “Electric solar wind sail doctors” (E
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, transcriptomics, bioinformatics, and advanced imaging. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships. We continuously strive
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1 Sep 2026 Job Information Organisation/Company Corify Care Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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probes for cryo- SPM Development and optimization of wafer-scale micro- and nanofabrication processes, including integration of sensing, actuation and electrical functionalities Mechanical, electrical and
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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algorithms for computer vision, image processing, imaging, and/or physics-informed reconstruction. Scientific track record with publications at internationally renowned venues in machine learning. Solid
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information visit https://truttmann.lab.medicine.umich.edu/. Our group values curiosity, teamwork, community, and the desire for intellectual growth. We are looking for an individual interested in contributing
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Location: Central Cambridge We are seeking applications for a PhD position in AI in proteomics as part of the Horizon Europe MSCA Doctoral Network, ProtAIomics. This brings together laboratories
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) - Organelle Biology and Proteomics in
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Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas - Gliogen X will be to develop a non-invasive virtual biopsy based on magnetic resonance imaging to molecularly classify