33 phd-in-architecture-interior-design-built-environment PhD positions at SciLifeLab in Sweden
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. The international environment and good opportunities for interdisciplinary collaborations enables PhD students at the department to participate in relevant research projects and prepare for an international research
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The Department of Zoology at Stockholm University includes about 80 employeese, including Researchers, PhD students and administrative staff. Research and education at the department occurs in
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covers research that fundamentally transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. A PhD
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Are you interested in working with molecular data, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable
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your application! We are looking for a PhD student in evolutionary genetics interested in contributing to a better understanding of the mechanisms that shape mutation rates. Your work assignments
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from staff scientists. The department also hosts the Bachelor’s degree programme in chemistry and three Master’s programmes: analytical chemistry, sustainable chemistry, and organic chemistry. PhD
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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
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society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are looking for a PhD student in Medical
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data for the mentioned large-scale studies. Requirements To meet the entry requirements for doctoral studies, you must – hold a Master’s (second-cycle) degree in an area relevant to the PHD topic (see
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Our lab is advancing precision medicine through deep learning models