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the Knut and Alice Wallenberg Foundation. CMPS comprises research groups with competence in a range of biochemical and biophysical methods (please see: https://www.cmps.lu.se ), thereby offering an excellent
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the national Data-Driven Life Science (DDLS) program. About the position and the project As an industrial PhD student, you will be employed by the startup company PredictMe AB while being formally enrolled as a
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strong background in computer science, including formal methods and mathematics, as well as an interest in AI and safety-critical systems. Good programming skills are required. Supervision: Prof. Elena
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project grants awarded by the Knut and Alice Wallenberg Foundation. CMPS comprises research groups with competence in a range of biochemical and biophysical methods (please see: https://www.cmps.lu.se
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employing advanced theoretical models and sophisticated experimental methods. Key properties of atomic and molecular anions and their interactions with other particles will be investigated to fully describe
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announcement: https://www.lunduniversity.lu.se/shape-future-research Duties We want you to thrive and make the most of your time at Lund University and the Faculty of Medicine. As an assistant professor, you
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written English, ability to work both independently and collaboratively. Additional qualifications Experience or coursework in one or more of the following areas is considered an advantage: formal methods
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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investigates how individuals and communities in Central Asia pursue justice and rights outside formal legal channels and institutions, using informal negotiations and everyday social interactions. It explores
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Description of work You will be working in the laboratory of Marta Bally (https://ballylab.com