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to serious and costly accidents due to human error. Solutions to these problems, such as sustainable drives and autonomous navigation, are not yet fully developed and are still at the experimental stage
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will be strongly encouraged to join ongoing local, national and international collaborations with leading theoretical and experimental researchers and contribute to shaping new research directions
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) • Experience working in a wet lab environment. • Fluency in oral and written English • Interest in working in a multidisciplinary and international team • Experience with experimental techniques including
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PhD degree 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
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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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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of psychology (in 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
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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