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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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their thesis work in the field of robotics; Strong programming skills in C++ and/or Python, as well as experience in implementing robot learning algorithms; A strong background in control theory, machine
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial
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algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name
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the subject line of your email. Send your application to jobsspam [email protected] by September 8, 2026. Interviews are scheduled for September 22, 2026. Applicants with disabilities will be
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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application portal. This can be accessed via the following link: : http://obp.uni-goettingen.de/de-de/OBF/Index/76523 The first round of interviews is scheduled to take place online from August 10 to 14, 2026
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). Support available to students with disabilities Individual offers and adapted schedule possible Support available to students with dependants or children Individual offers and adapted schedule possible