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to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological
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scale, with experts on soil, vegetation, groundwater, stream/rivers, lakes, and the connection to the atmosphere. This specific postdoc position will focus on assessment of carbon processing and fluxes in
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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
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appointment focusing mainly on research, intended as a first career step after a dissertation. Other information For information about processing of personal data in the recruitment process. It may be the case
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position within a Research Infrastructure? No Offer Description Do you want to contribute to improving human health? This postdoc position will offer the opportunity to join a translational research team to
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the immunologic role of EVs and how they can be used as biomarkers or therapeutic targets in cancer and lung diseases. Duties The postdoc will work in studies on clinical material from patients with cancer, and how
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ultrafast optics and lasers, generation of attosecond pulses and applications of these to the study of ultrafast phenomena in various systems. We are looking for one to two postdocs to manipulate ultrashort
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within the University of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in
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together with data from earth system models. For this, the postdoc will assess the sensitivity of modelled volatile organic compounds, aerosol properties and processes to land-use changes, evaluate model
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: Metallurgy, Process physics modelling, and Process development and control. Our main aim is to fundamentally study and improve our understanding of welding and welding-based additive manufacturing processes