204 parallel-computing-numerical-methods-"Prof" positions at Nature Careers in Germany
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/berufung/ ) - to Prof. Dr. med. Sergij Goerdt, Dean of Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, by May 20, 2025. Heidelberg University stands for equal
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cutting-edge experimental or computational methods to investigate complex molecular processes underlying phenotypic changes. Research areas include (but are not limited to): Large-scale genome engineering
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to molecular mechanism. New experimental and computational methods, including data and deep-learning driven approaches to study complex biological processes in the context of cells, organisms, communities and
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W3-Professor or W2-Professor with tenure track to W3 for Theoretical Physics – Relativistic Astrophy
waves and their sources, as well as mathematical and theoretical foundations of classical and modified gravity. With regard to technical expertise, a strong background in mathematical and/or numerical
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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
elucidation using crystallographic methods. The focus of the research should be on the development of AI-based analysis methods for macromolecular single crystal diffraction data. Furthermore, experience in
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molecular biology, train scientists and students at all levels, provide essential services to both public and private sectors, develop innovative technologies and methods, and foster active technology
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computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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of interest include, but are not limited to: AI methods that meet the complexity of living systems, high-dimensional machine learning for biology, statistical machine learning, AI‑driven laboratory automation
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration