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machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists (internal
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of different electric components as well as basic electronic knowledge Enthusiasm and creativity in designing and assembling measurement set-ups Preferably experience with data logger systems and sensors
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that bridge technology, urban planning, material sciences, sensors and aviation. With the upcoming Smart Mobility Lab in Lusatia, Saxony, you will have access to state-of-the-art and extensive facilities
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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strategic plan: Health technologies Innovative materials and advanced manufacturing Intelligent and autonomous systems Quantum engineering Sensors, networks and connectivity Software systems, multimedia and
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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research in innovative algorithms for the analysis and interpretation of medical image data to support computer-aided disease diagnostics and intervention planning. have an established track record
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to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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would perform technically challenging swimming force experiments with tiny living organisms using a micropipette force sensor (see Backholm et al., Nature Protocols 2019 https://doi.org/10.1038/s41596-018