218 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" Postdoctoral positions in Germany
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 month ago
(imaging) data analysis is preferred. Prior experience in microscopy is desired but not required.) Development of 3D diffusion-based single-molecule sensors (the candidate with theoretical knowledge and
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the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across
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-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
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. The project’s overarching goal is the development of digital quantum algorithms for the simulation of non-abelian lattice gauge theories. We are looking for highly motivated individuals, with the desire
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-fli.de ). The Research Group led by Prof. Claudia Waskow at FLI is looking for a highly motivated and talented Postdoctoral Researcher (m/f/x) to support and develop a project on macrophage homeostasis and
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. Are you interested in applying your machine learning and deep-learning expertise to develop cutting-edge ecological and environmental research? The Senckenberg Gesellschaft für Naturforschung invites you to
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algorithms into an existing framework, with a focus on efficiency, as well as creation and execution of relevant simulation pipelines: from real data to mathematical and clinically actionable results