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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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methanol or ethylene with minimal waste and energy input. Where to apply Website https://www.academictransfer.com/en/jobs/356480/phd-position-in-dynamic-stress-… Requirements Specific Requirements You are
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-structure interaction of the Maeslant Barrier, combining field modal testing, numerical modelling, and signal processing to capture and interpret its dynamic response under current and future hydraulic and
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broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers provides a comprehensive benefits package to
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 15 Jan 2026 - 23:55 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Hours
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dynamics. In this project, we seek to understand the structure and dynamics of protein molecules in concentrated solutions. The candidate will use Small-Angle X-ray Scattering (SAXS), X-ray Photon
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. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by
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investigate the structure, dynamics and function of pathogens and their host interactions.The Sondermann lab [Link] is interested in deciphering the molecular processes that determine bacterial interactions in
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a highly motivated researcher associate (M/F) with strong background in computational structural biology. The successful candidate will be working on developing AI-based computational approaches
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, such as AI-driven virtual cells (AIVC), while contributing to developing image-based biomarkers (digital pathology) and AI-based structural antibody design. For this task, a large data lake containing