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research group study the genetic and epigenetic changes that drive the development of hematological malignancies by employing cutting-edge multi-omics approaches. The successful candidate will join a dynamic
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-implantation deformations of the devices and their influence on blood flow dynamics. Alongside computationally intensive, fully resolved simulations, the project employs porous media surrogate models and their
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of the components of the climate system. As a suitable candidate you, have expertise in analyzing complex systems (e.g., using dynamical systems theory, statistical physics) and/or process-level expertise in a
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
, to understand the molecular mechanisms underlying these conditions, and to derive potential targeted treatment options (precision medicine). What we offer: A dynamic, international and interdisciplinary working
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a dynamic research institution Company ticket In-house language courses and resources for career development Women are particularly encouraged to apply. Applications from severely disabled persons
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
Freiburg im Breisgau (Germany), a dynamic university city with a 900-year history. The city in the trinational border region – Germany, Switzerland, and France – impresses newcomers with its high quality
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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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detail: Planning, supervision and implementation of innovative experiments with solid oxide cells, in both electrolysis and fuel cell mode Characterization of the repeating units during stack operation
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budgets be accounted? What are the potential designs of effective monitoring setups? Can operators and tourists be sensitized to the impact of their presence, and how can knowledge contribute to modes
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend