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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
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, remanufacturing, repurposing and recycling to each other for the realization of an agile network. Various machine learning approaches will be used here. Your tasks are: Requirements definition, survey and
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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research If you are interested in a PhD, there is the possibility to support you in this endeavour We offer Secure remuneration according to the collective agreement (TV-L) including the usual social
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with scientific programming (e.g., MATLAB, LabView) is advantageous Knowledge of scientific instrumentation and electronics is desired Experience with (or willingness to learn) stop-flow spectroscopy and
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Germany in a real campus university with an internationally acclaimed central building by Daniel Libeskind and the directly adjacent Wilschenbruch nature reserve, a high level of job security as part of