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international environment consisting of PhD students, postdocs and teachers coming from all corners of the world. Research and teaching are conducted in an open and progressive atmosphere with challenges and
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the construction logistics unit at the division of Communication and Transport Systems (KTS). The postdoc will focus on projects related to circularity of construction materials (including both soil and rock
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dynamics and application of composite materials. Subject description Structural Engineering includes loads, design, sustainability, load carrying capacity, repair and strengthening, of buildings and civil
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generates cutting-edge knowledge and builds competencies to support an innovative and sustainable future rooted in forest-based raw materials. The IndBio division and WWSC offer extensive infrastructure and
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To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign degree that is deemed equivalent to physics, mathematics, or molecular biology. But more importantly, the candidate should
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the Swedish Knowledge Foundation. In this position, you will belong to a research group with six senior researchers and several PhD students. The research focuses on managing data and information essential
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contacts with other disciplines nearby and interacts with biomedicine, pharmacy, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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material derived from ex vivo sources. Description of the workplace The Molecular Biophysics group is in the Department of Experimental Medical Science within Lund University Faculty of Medicine, and is led
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis