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, the successful applicant will analyze integral-field spectroscopy (IFS) data of starburst galaxies, with a primary focus on the spatially resolved star formation history and on the physical properties
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-making processes to autonomous control and analytics. This PhD project aims to investigate and design novel abstractions, models, and algorithms that enable the superimposition of human-in-the-loop
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. Parametric algorithms and ML models trained on simulation-derived and measured datasets will approximate key microclimate variables and associated human–bioclimatic responses across a wide range of spatial and
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"Making an Impact in Translational Medicine." Dr. Dimitra Z.: Physician Scientist and future leader PhD position (all gendres) in AI-integrated Neuroimmunology - Munich Part time | Temporary
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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population changes, and other demographic parameters (survival, fecundity, reproductive success, etc.). These integrated population models (IPMs) are increasingly used in ecology. They offer clear advantages
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and thermal modeling to describe energy dissipation pathways and guide metasurface design. WHAT WE OFFER: A fully funded PhD contract for 3 years. The recruited PhD candidate will work in an
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of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial
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gaps in our understanding of disease biology and treatment response in Black men. Our project aims to close these gaps by developing cutting-edge induced pluripotent stem cell (iPSC) models that better
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in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development