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Field
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experience with methods of molecular biology and/or in the field of histology Experience in animal experimentation is an advantage Knowledge of statistical methods for data analysis Very good written and
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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diseases. You will contribute to the acquisition of multi-omics data from cryopreserved patient-derived samples, working in close collaboration with clinicians to assess patient outcomes. You will present
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one of 96 research and infrastructure facilities of the Leibniz Association. The DPZ’s Primate Data Science (PRIDAS) platform seeks to fill several positions for PhD Candidates in Data Science (m/f
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected Results: Ability to assess
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nano-computed tomography, and scanning electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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17 Nov 2025 Job Information Organisation/Company Universität Tübingen Department Institut für Angewandte Physik Research Field Physics » Chemical physics Physics » Crystal growth Physics » Surface
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highlight the potential of microbiome intervention in immuno-oncology. In our team, we actively integrate translational data, functional assays and preclinical models, to understand and overcome mechanisms