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, Recombinant protein expression and purification, biochemical and biophysical characterization of nucleic acids Computational model building and structure prediction Single-molecule fluorescence microscopy
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ecological data collection. The positions focus on improving detection and classification performance of deep learning models applied to millions of images collected in European monitoring programs. Key
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Electrophysiological characterization of muscle fiber excitability (in collaboration with the research group) In vivo studies using animal models of neuromuscular disease Integration of molecular and transcriptomic data
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modeling. The position is available from 1 May 2026 or as soon as possible hereafter. Job description/research area The postdoc will contribute to a project enhancing cross-disciplinary collaboration by
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processes Insight into processes controlling phosphorus availability Experience with soil phosphorus fractionation techniques, nutrient leaching assessments, sorption isotherm studies or related analytical
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
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models to better understand the relation between radiation doses and neurovascular effects and to develop proton therapy planning strategies to mitigate these effects. The project will be performed in a
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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international research networks time spent abroad working at one or more internationally recognised research institutions. Furthermore, applicants must have an advanced command of spoken and written academic