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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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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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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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analysis and determination of HIV clonality in HIV-infected cells to understand the mechanistic link between low-level protein expression and immune activation. Your Tasks: • Perform and analyze
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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