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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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analysis of land management options under various climate scenarios #employ biophysical process models to assess outcomes in both focus regions - Database Development #create and maintain a model input and
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documentation and analysis of research data Development of experimental strategies to investigate and test scientific hypotheses Presentation of research findings and preparation of scientific publications
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discipline Solid wet-lab experience in molecular biology, ideally with tissue or protein work Motivation to develop bioinformatics and data analysis skills (training provided) Proficiency in English (spoken
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. In particular, we focus on spinal sensorimotor circuits and their role in encoding somatosensory input and motor control. We apply a systems neuroscience approach combining mouse genetics, molecular
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talented and highly gifted candidates to apply as Doctoral Researcher (m/f/div) in Microbiome Systems Biology The positions are initially limited to four years. The Microbiome Dynamics (MBD) department
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and disease risk factors Investigate new approaches in the analysis of large neurophysiological datasets We are seeking a highly motivated candidate with: A strong master’s degree in psychology
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The Institute for Infection Prevention and Control (IPC, Head Prof. Dr. Philipp Henneke) is looking as soon as possible for a Bioinformatician (m/f/d, PhD) with focus on the analysis of large
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interdisciplinary team from electrical, mechanical, and chemical engineering, as well as physics and chemistry, with the intention to bring promising new 2D materials out of the laboratory and into the market-place