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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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. Excellent written and spoken English It would be advantageous for applicants to have Experimental experience with nanoparticulate formulations Experience of statistical and/or machine learning methods
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on all levels, including PhD. The faculty has about 6000 students and nearly 600 members of staff. Job description Faculty of Health Science , The Department of Rehabilitation Science and Health Technology
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, transcriptomics, proteomics, microscopy and CRISPR technology. The effects of endocrine-disrupting chemicals will also be investigated. A detailed project description can be obtained from the contact persons
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the Norwegian Civil Servants Act (lovdata.no ), as well as legislation governing the export of knowledge, technology and services. Background checks may be carried out in order to verify information provided in
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. An appointment will be made based on the principles set out in the Norwegian Civil Servants Act (lovdata.no), as well as legislation governing the export of knowledge, technology and services. Background checks
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programme, you must have completed a relevant bachelor's degree (180 ECTS) + master (120 ECTS) , or equivalent education in the fields of human centered technology, art, design, social sciences
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the nominal length of study an attractive and good learning environment for PhD candidates The programme offers several courses and candidates from other programmes may apply for admission to the individual
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, you can expect: An attractive and supporting learning environment Participation in research groups Close supervision Skilled supervisors Excellent job prospects The programme is administered by