29 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Karolinska Institutet (KI) in Sweden
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disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify
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of your research plan, both presented in accordance with Karolinska Institutet’s template (https://ki.se/en/about-ki/jobs-at-ki/qualifications-portfolio-for-teachers-and-researchers ). You may change
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checked against the suspicion and criminal records. https://www.karolinska.se/jobba-hos-oss/rekryteringpa-karolinska/ As an employee at Karolinska University Hospital, you may be assigned a wartime
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of international clinical intervention- and observational studies, particularly clinical studies of system-level interventions. Furthermore, you will lead and develop education, teach and supervise students
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us and contribute to better health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:917628/type:job/where:39/apply:1 Requirements Research FieldAgricultural sciences
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to apply Website https://ki.varbi.com/en/what:job/jobID:924699/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelMaster Degree or equivalent Research FieldMedical
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health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:920483/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research
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consists of several research groups. The position is located within the research group Susanne Gabrielsson, http://ki.se/en/meds/research-group-susanne-gabrielsson Type of scholarship The amount is tax free
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of working with motion capture, eye tracking, machine learning, or other advanced behavioral analyses or related research experiences. A consistently excellent academic track record is required, including
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initiated by a six months trial period. Want to make a difference? Join us and contribute to better health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:911408/type:job/where:39/apply