131 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in Sweden
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The Department of Mathematics consists of around 120 researchers, teachers, and support staff, and is organised into three main divisions: Mathematics, Mathematical Statistics, and Computational
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development and application of state-of-the-art computational methods alongside experimental validation. More about working at Lund University on lu.se. https://www.lunduniversity.lu.se/about
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leave, may be taken into consideration. We are looking for candidates who hold a PhD in: Chemistry, Physics, Materials Science or another field that is considered relevant to the project. Documented
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Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en
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governing material growth based on the underlying physics, and to develop an open-source computational framework for analyzing experimental data, identifying relationships between growth conditions and
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Environmental Physics group at the Department of Soil and Environment, Swedish University of Agricultural Sciences (SLU), in Uppsala. We are looking for a researcher fascinated by the interactions of
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Yant Lab develops computational and genomic approaches to understand evolution, adaptation, genome dynamics, and whole-genome duplication across diverse plant systems (see https://www.yantlab.net
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environment spanning soft matter physics, structural biology, nanomedicine, and advanced data analysis. The fellowship is funded through the prestigious AMBER Marie Skłodowska-Curie COFUND programme
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Postdoctoral position in Solid State Physics Login and apply Lund University Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around
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design and synthetic biology for developing programmable living materials, with a particular focus on the de novo design of proteins biofilm systems. The research combines computational protein design