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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
Area of research: Scientific / postdoctoral posts Job description: PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate change" (f/d/m) (HIPP26 #2
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
Area of research: Scientific / postdoctoral posts Job description: Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean" (d/m/f) (HIPP26 #3) Background
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Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. ENGLISH: We invite applications for one Postdoctoral and one PhD position in the field of quantum simulation. The successful candidates
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28.03.2025, Wissenschaftliches Personal The Schüfflerlab (https://schuefflerlab.org) at the Technical University of Munich (TUM) is offering a 2y postdoctoral full-time position in Pathology AI and
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning