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over a leadership role (Team Lead) in the institute Motivation Do you want to put your scientific career on the fast track and feel electrified? Do you have ambitions to lead a research team with whom
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stations and is a competence and reference center for research on and with primates. The DPZ is one of the 96 research and infrastructure facilities of the Leibniz Association. The Functional Imaging
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to elucidate the genetic, molecular, and cellular mechanisms governing the formation and function of the testis, production and function of sperm, fertilisation, as well as early embryonic development
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conditions. Research questions centre around 4 topical lines: 1) the impact of human population dynamics, subsistence imperatives and landscape use on biodiversity; 2) the relation between inequalities and
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as well as of the RWTH Aachen. Our central objective is to elucidate the genetic, molecular, and cellular mechanisms governing the formation and function of the testis, production and function of sperm
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georesources. We are part of the Helmholtz Association, the largest German scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: FS-CFEL-2 Area of research: Scientific / postdoctoral posts Starting date
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Institute for Metallic Materials the IFW
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• US or EU patents in the field of machine learning / computer vision We Offer • Remuneration according to TV-L E14 (100%) • Fixed-term position for the project duration (48 months) • Central role in a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning