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laboratory/field experiments with soil invertebrates Written and spoken German skills We offer access to an international network of scientists, policymakers and research organizations a dynamic working
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and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science
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of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich’s thriving AI landscape, fellows benefit from world-class facilities, interdisciplinary
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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
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Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
(Leibniz Gemeinschaft) and committed to international standards of excellent science. The IWM invites applications for the position of a Postdoctoral Researcher as a Junior Research Group Leader (m/f/d
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creative solutions for complex chemical and process engineering problem. Dehydrogenation processes: Construction of a test stand for the dehydrogenation of diol-based carrier molecules Explorative research
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
Ecology and Technology group is carrying out work on the impact of manganese nodule mining on deep-sea benthic communities and their functions. The Research focuses on industrial tests of the manganese
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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