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Protein Expertise Platform, X-ray, proteomics, NMR (850-400 MHz), cryo-EM and Biochemical Imaging Centre (confocal, SIM, FLIM, spinning disk, TIRF, STORM). Project description Autophagy is an evolutionarily
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will involve the development, running and analysis of in-situ experiments exploiting x-ray tomography and will include using and advancing 3D/4D image quantification for such materials/data plus
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in the acquired autoimmune disorder immune thrombocytopenia as well as in inborn errors of immunity. You will conduct research using human blood samples, processing them for imaging flow cytometry
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
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, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high temperature thermal energy storage and integrated systems. The postdoc will
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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. It may also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be
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techniques and data analysis 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