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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 vascular, inflammatory
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Your Profile: Very good university degree (Master) in the fields of chemical engineering, process engineering, chemistry, material science or a comparable discipline with PhD Broad expertise and the
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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, you must have a PhD in a relevant field. As a suitable candidate, you have expertise in deep convective cloud processes and experience with scientific data analysis. Prior experience in applying machine
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methods and ideas PhD in Physics, meteorology or a related subject Experience with running and evaluating models English skills that allow one to communicate in an international working environment, and to
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position is part of a research project that investigates the contribution of marine microalgae (phytoplankton) to natural climate protection. The successful candidate will research phytoplankton abundance
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enjoys scientific discussion and interdisciplinary science. To be considered for this position, you must have a PhD in a field like physics and applied mathematics or a field related to one
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natural language processing and machine learning to answer specific research questions Qualitative content thematic analysis to produce thematic clusters of policies Produce at least two peer-reviewed
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, including next generation sequencing data processing is an added advantage excellent command of written and spoken English pro-active learning and desire for career development excellent communication and
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master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with significant physical and mathematical components. It is essential