44 engineering-computation-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions
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- Max Planck Institute for Human Cognitive and Brain Sciences •
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Student experience https://www.youtube.com/watch?v=oCXutRm1wc8 Study options Study options PhD: 3 years full-time; 5 years part-time MPhil: 1 year full time; 2 years part-time Also see our online Doctorate
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Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity and Inclusion As London’s Global University, we know diversity
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Essential or desirable Stage(s) assessed at Hold a Bachelor/Masters degree in Chemical or Mechanical Engineering, Computer Science or Engineering, Materials science, or closely related discipline (or
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salmonid fish. Molecular Ecology, 30 (20), 4955–4969, https://doi.org/10.1111/mec.15817 . Jacobs A, Carruthers M, Yurchenko A, Gordeeva NV, Alekseyev SS, Hooker O, Leong JS, Minkley DR, Rondeau EB, Koop BF
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20 Jan 2026 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 30 Jan
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
TU Dresden or UCL may attend online. Application deadline See our website (https://imprs-coni.mpg.de/application-dates) for further information. Tuition fees per semester in EUR None Combined Master's
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maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will
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of Neuromedicine and Movement Science (INB) at the Norwegian University of Science and Technology (NTNU) invites applications for a 3-year full-time (100%) PhD position. The successful candidate will be part of
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imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise
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biochemistry, and access to beyond-state-of-the-art technology. To gain quantitative molecular knowledge on the formation of Staufen1:RNA complexes, this project will focus on the detailed individual analysis