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-atmosphere version of the general circulation model ICON, i.e. UA-ICON, a state-of-the-art high-resolution model of the neutral atmosphere with a model top at 250 km height. UA-ICON includes a deep- atmosphere
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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
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approaches and will integrate novel hardware (including electrode arrays, microdevices, analytical systems) into automated robotic pipelines You will also apply machine learning-based analyses to imaging and
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review). Requirements: PhD in Psychology, Gender Studies or film studies Desirable: - relevant knowledge in trauma studies - Knowledge in the field of qualitative methods of interview evaluation
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 12 hours ago
of Oldenburg Your Profile PhD in marine ecology, finalized by the start of the project Advanced statistical modeling skills including analysis of biodiversity time series and functional traits, evidenced by
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 3 days ago
within an interdisciplinary and international team, as well as with external partners. PhD in neuroscience, biology, or a related discipline Solid experience in animal research, including rodent models and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 12 hours ago
are looking for individuals with A PhD in oceanography, climate sciences, or a related field A strong background in programming (e.g., Python, Fortran, Matlab) and ocean or climate modeling A strong background
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, transforming the EU into a modern, resource-efficient, and competitive economy. Responsibilities and qualifications The focus of this PhD/Postdoc project is to develop a new Li-operated potentiometric
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phage application strategies and contribute to publications and conference presentations Engage actively in team meetings and the interdisciplinary PHAGE-PRO network Your profile PhD in life sciences
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, machine learning or causal inference for estimating, understanding and forecasting demographic and health outcomes, at the individual and aggregate levels, including as they relate to life course and socio