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program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på
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for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It
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demonstrate the potential to adopt interdisciplinary approaches to biology at a top level of research, combining laboratory and computational work. Experience with live-cell confocal microscopy is an advantage
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Ecology (future Natural Sciences) within three months of accession in the position. For admission to the programme an average grade at master’s level of B or higher is usually required (or the corresponding
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about fundamental science and excited about questions
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Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no/english/research
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participate in an approved educational programme for a PhD degree within 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural Sciences is 2 months
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for applying for admission to the PhD programme at The Faculty of Mathematics and Natural Sciences is 2 months after you start your position or after the start of the research project that will lead to the PhD
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a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research
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research, combining laboratory and computational work. Experience with live-cell confocal microscopy is an advantage. Experience with quantitative cell biology and computational modelling, especially using R