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personalize interactions based on spatial and behavioral cues. Thus, the project requires technical skills in the development and programming of embodied AI agents. You will collaborate closely with
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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into the WISE programme will be a part of the WISE Research School Who we are looking for The following requirements are mandatory: To qualify as a PhD student, you must have a Master's degree (masterexamen) of
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deadline: August 18, 2025 Requirements To qualify for admission to the PhD programme, you must have: A Master’s degree (or equivalent), Completed at least 240 ECTS credits, including at least 60 ECTS credits
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sustainable future through materials science. All early-stage researchers recruited into the WISE programme will be a part of the WISE Research School , an ambitious nationwide programme of seminars, courses
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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(and the willingness to learn more), with an interest in biological/ecological questions; Experience with programming or the willingness to learn to program (the lab relies mostly on R and C++, but
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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implementation. About the project Reactive synthesis refers to the automatic generation of programs from high-level behavioral specifications. This approach plays an increasingly important role in areas such as