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qualification as part of a doctorate is given. Your profile: An excellent MSc degree (or equivalent) in biochemistry, chemistry, biology, computational science, bioinformatics, cheminformatics or closely related
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. Our research combines computational chemistry, cheminformatics, bioinformatic and AI to design new molecules and enzymes for unprecedented catalytic functions. In this project, you will: Develop
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atmospheric aerosol particles, their interactions with clouds and turbulence, and cloud microphysics. The focus is on both process-based studies and long-term observations, with which we contribute
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. The department of Atmospheric Chemistry (ACD) and Atmospheric Microphysics (AMP) research the chemical and physical properties of aerosol particles and their interactions with clouds. Process-based laboratory
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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include application of process-based models (e.g., CANDY, DayCent, LDNDC, Daisy) to model within-field N-fluxes (e.g., N2O-losses, NO3-leaching, N-mineralization) support model parametrization, estimate N
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document fossil turtle specimens Process and analyze digital CT datasets of cranial and neurological structures Carry out geometric morphometric analyses to study shape variation Conduct eco-morphological
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Association. At the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), we investigate the fundamental biological processes that drive aging. Our research combines molecular, cellular, and systems-level
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages