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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
”. Workplan: This project aims to develop and validate a personalized multifactorial mathematical model capable of predicting the response to bariatric surgery (BS) and assisting physicians in the clinical
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a highly motivated Research
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Programme under Portugal2030 and the European Union, operation code COMPETE2030-FEDER-02975500 (n.º 24829) taking place at the Department of Informatics of the University of Beira Interior (http
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, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
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. Desired Skill Sets A PhD in Engineering, Math, Physics, Computer Science or a related field. Strong programming and computational skills. Experience in AI development, mathematical modeling or data analysis
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implement front-end tools or user interfaces to facilitate data accessibility for researchers and practitioners. - Leverage data analysis to unify underlying structural data used to develop design
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Programme under Portugal2030 and the European Union, operation code COMPETE2030-FEDER-02975500 (n.º 24829) taking place at the Department of Informatics of the University of Beira Interior(http
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at Department of Mathematics. Preferred starting date as soon as possible. The fellowship period is three years. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo
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Research Fellow in Fluid Mechanics Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in Fluid Mechanics available at Department of Mathematics
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the fellowship will be hosted by the Department of Mathematical Sciences (https://www.ntnu.edu/imf ). The project is a close collaboration with evolutionary ecologists from the Department of Biology