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Objects and Visual Studies” doctoral program of the BerGSAS, https://www.berliner-antike-kolleg.org/en/bergsas/index.html We welcome applications from highly qualified graduates from the fields
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risk development. These projections will enable the identification of sustainable adaptation strategies and support policy development. Objectives Develop an Agent Based Model (ABM) that describes flood
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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, to characterize immune cell dynamics in murine models of inflammation and cancer. RESPONSIBILITIES: Developing and performing computer simulation of MRI contrast of labelled cells and tissue Labeling and tracking
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. Bonus lectures can be picked by the students depending on their interests and project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI
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into the EURECA consortium. The overarching objective of EURECA - The European Epitranscriptomics of Cancer Academy-, is to train young doctoral candidates into excellence at the frontiers of basic and
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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awarded by the university to which the supervisor of the respective student is affiliated. MPSCog also offers a parallel track, the fully funded Clinician Scientist Program (CSP), targeting medical