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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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for biological image data, scalable computer vision methods preparation of publications for submission to top-tier machine learning conferences contribution to teaching and/or supervision of Bachelor's and
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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a
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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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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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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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are seeking to appoint an internationally highly visible researcher engaged in the field of Physical Chemistry of Molecular Systems with a focus on Experimental Method Development. The scientific activities
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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