160 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Göteborgs-Universitet" positions in Sweden
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of Health, Science and Technology is accepting applications for a doctoral studentship leading to a PhD in Public Health Science at the Department of Health Sciences. As a doctoral student, you will work in
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cross-faculty training programme in cognitive robotics and neurorobotics in collaboration with other subjects at Lund University, the Faculty of Engineering, LTH and within eSSENCE. You will thereby
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The School of Engineering is one of four schools within Jönköping University. We offer attractive technical education at undergraduate and graduate levels and conduct advanced research in several
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The School of Engineering is one of four schools within Jönköping University. We offer attractive technical education at undergraduate and graduate levels and conduct advanced research in several
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A postdoctoral position is available for highly motivated candidates with a background in Materials Science and Engineering or equivalent. The Department of Materials and Manufacturing is a vibrant
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children and young people, and on changes in technology and ways of working. You will conduct semi-structured interviews and focus-group discussions with psychologists and school counsellors within services
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chemistry, as well as polymer technology. CAS currently comprises around fifteen research groups. A description of the research environment and the active research groups can be found here . This position as
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environment. A high-quality doctoral education within a thriving research environment. A structured PhD curriculum featuring mandatory and elective courses. Opportunities to participate in SWEGPEC (the Swedish
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. However, to achieve this we need novel techniques capable of dissecting the complex structure of populations into single-cell components that can be studied individually and collectively. To achieve
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loop/TAD structures. - Perform comparative analyses versus Populus tremula; apply network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce