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of high-throughput systems is maximized using design of experiment (DoE) approaches in order to efficiently explore the high-dimensional parameter space of the electrolysis processes. DoE is required
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
. The Department of Machine Learning for Materials Design is looking for a Postdoc (f/m/d): Machine Learning for Materials Modeling. Scope of Your Job In this role, you will contribute to ongoing research efforts in
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 month ago
Planck Institute of Biophysics is seeking for highly motivated PhD student and Postdoctoral Researcher (2 positions – f/m/d) to study genome organizing macromolecules, including Structural Maintenance
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Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center – University of Freiburg offers the position of a PhD candidate or Postdoctoral
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Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
in Europe including the development of an adaptive strategy # Methods for dynamic sampling design that update sampling locations based on field observations and in-field measurements # Methods include
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The Hertie Institute for Clinical Brain Research (Research Division Translational Genomics of Neurodegenerative Diseases, Dept. of Neurodegenerative Disease) is inviting applications for a PhD
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 3 months ago
for dynamic sampling design that update sampling locations based on field observations and in-field measurements # Methods include mainly surficial geochemistry, e. g. soil and plant sampling, but also
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interest. About the Role We are looking for a highly motivated postdoc to investigate how AI and other emerging technologies can be designed, used, and governed in ways that are responsible and appropriate
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of statistical analysis of genetic, proteomic data and their links to neuropsychological phenotypes Interpretation and interdisciplinary discussion of research results Design and implementation of own research
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging