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about bioinformatics and eager to work in an interdisciplinary team? In our group, you will work on the following tasks: Develop and adapt bioinformatics approaches for experimental design, data analysis
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using
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knowledge and experimental experience in X-ray photoelectron spectroscopy Suitability to work in a radiation protection area Ideally, experience with further methods in the field of surface characterization
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available in the further tabs (e.g. “Application requirements”). Programme Description The Boehringer Ingelheim Fonds travel grants are aimed at doctoral, MD and post-doctoral students who pursue experimental
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in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and international
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab). • Publication record appropriate to stage
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
human-robot interaction) and communications (in networked control systems). Many of the developed methods are experimentally validated in our multi-robot lab. Your qualifications: We are searching
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-driven short stack test rig for the experimental investigation of the influence of pressure on r-SOC degradation processes. You are welcome to use the freedom of the project to set your own priorities