404 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Sweden
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at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande Application Submit your application via the University of Gothenburg’s recruitment portal by
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of prior learning. For other eligibility requirements, refer to Karlstad University’s Appointments Procedure . Assessment criteria In the assessment, equal weight will be given to teaching expertise and
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Professor Emma Ahlqvist and consists of research and technical staff. The group is located at CRC, Malmo. Here you can read more about our exciting research: https://www.ludc.lu.se/research/genetics-and
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to the seven-year limit may be made for documented parental leave, sick leave, or military service (the date on the doctoral certificate is used as the official completion date). Contract terms The position is
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– forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/doctor-… Requirements Research FieldBiological sciencesYears of Research Experience4 - 10 Research
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machine-learning and high-throughput methods, to ab initio calculation of electrochemical reaction kinetics. The position is funded by the Swedish Energy Agency’s research program “Sustainable Battery Value
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guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and
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the world. Where to apply Website https://lu.varbi.com/en/what:job/jobID:890483/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical
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funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive