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artificial intelligence is transforming human culture and collective memory. The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a national research program in
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communication skills in English, both written and verbal Meritorious: Strong mathematical background combined with solid programming skills * The date shown in your doctoral degree certificate is the date we use
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competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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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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scientific field. A dynamic research environment within WACQT – the Wallenberg Centre for Quantum Technology – one of Europe’s largest quantum technology programs. A strong focus on career development
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%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
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aluminium. The candidate will investigate various methods for symbolic regression, aiming to extract symbolic information, like mathematical functions or programs from a network trained for material modelling
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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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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