170 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions in Denmark
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universities around the world. Where to apply Website https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/… Requirements Research FieldBiological sciences » Nutritional
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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” at https://www.bioengineering.dtu.dk/about. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option
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contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si . Project topics SI particularly invites for PhD project applications pertaining
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-efficient, open-loop optimisation of fermentation control profiles, building on recent theoretical developments in optimal control theory, reinforcement learning and numerical methods as well as laboratory
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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vision here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet The Ph.D. candidate will be part of the Pharmacy section: https://www.sdu.dk/da/forskning/farmaci-sektionen
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and the state (AC collective agreement) (in Danish) Where to apply Website https://aau.varbi.com/en/what:job/jobID:895183/type:job/where:39/apply:1 Requirements Additional Information Work Location(s
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position. You can read more about career paths at DTU here . Further information Further information may be obtained from Assistant Professor Melisa Benard Valle, melval@dtu.dk https://orbit.dtu.dk/en
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environments This PhD project investigates the use of digital technologies (environmental sensing, user feedback loops, computer vision, machine learning) and theories of human perception and behavioral nudging