70 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" positions at University of Lund in Sweden
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links between dynamics, catalysis and function in protein tyrosine phosphatases, using the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good
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take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se
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on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description The doctoral student will work on the project ‘Heating, transport, and participation in life: Towards
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. Additional requirements In order to complete the doctoral programme in question, the following are also required: good ability to work independently and to formulate and tackle research problems. good written
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research, including e.g. plant-based meat analogues, carbon capture and formulation and purification of biopharmaceuticals. The Membrane group (https://www.membranegroup.lu.se/) at PLE is the most
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environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se
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targets. More information about the group's research is available at https://pietraslab.com/ and https://bsky.app/profile/pietraslab.bsky.social . As a workplace, we prioritize a positive working
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. This PhD Project will work on the further