173 parallel-computing-numerical-methods positions at Technical University of Munich in Germany
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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
the systematic analysis of function-ultrastructure relationships in brains with implications for our understanding of neuropsychiatric diseases and inspiration for neuromorphic computing. Your Ideal Qualifications
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• Conduct statistical consultation for Helmholtz scientists and industry partners • Evaluate and apply novel statistical methods in the context of applied research • Write statistical reports on experimental
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empirical research with design practices from a comparative perspective. CUSP aims to approach urban and peripheral spatial research through ethnographic and qualitative methods. We focus on the critical
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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification
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13.01.2020, Wissenschaftliches Personal PhD position at the Chair of Algorithms and Complexity. Candidate shall work on approximation algorithms for scheduling problems in parallel and distributed
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based materials to advance the potential of biopolymers in various applications. Project description
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methods (such as Machine Learning, Metric Learning, Reinforcement Learning, Graph Representation Learning, Generative Models, Domain Adaptation, etc.) for Design Automation applications. To this end, we
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cells or electrolyzers. Utilizing innovative, automated characterization techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus
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parameters to understand hydraulic thermal processes, develop innovative monitoring systems, evalua-tion and implementation methods like geothermal potential assessment as well as numerical reservoir modelling