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combining imaging 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
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are particularly interested in the neuropsychiatric symptom picture in Parkinson's disease and in developing better treatment. We have a specific interest in the anatomical-functional association within the STN, and
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international environment consisting of PhD students, postdocs and teachers coming from all corners of the world. Research and teaching are conducted in an open and progressive atmosphere with challenges and
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, improving scripts in Grasshopper, running energy simulations and supporting literature reviews, amongst others. You will be guided by an experienced postdoc in the group and collaborate with different PhD
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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defects, using both patient samples and model systems (mouse and fly). Implement methods for advanced image analysis. Develop strategies for metabolic tracing in tissues. You will collaborate closely with
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combines leading expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next
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consists of five professors and several doctoral students and postdocs. We value our open, supporting and inspiring atmosphere with weekly activities throughout the academic year. You will have the
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control has a stimulating and international environment with PhD students, postdocs, and teachers coming from all corners of the world. Research and teaching are conducted in an open and progressive
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work