14 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"INSA-toulouse"-"https:" "UPF" PhD positions in Sweden
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take both compulsory and elective courses, plan and execute your research projects independently. You will be in a stimulating working environment together with doctoral students at the Department
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of care, well‑being, and illness for both young people and professionals. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as
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to 20% of their time, thereby prolonging the duration of the program to guarantee four years of graduate studies. More information about doctoral studies you can find here: www.umu.se/en/usbe/education
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deemed to have the ability otherwise required to successfully complete the program. General Qualifications Applicants must hold a university degree at an advanced level of at least 240 credits (ECTS
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: The applicant must have a PhD degree in atmospheric science or simular. Applicant must have work life experience of programming in a linux environment, preferably with FORTRAN. Oral and written proficiency in
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doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. During your doctoral studies, you will have the unique opportunity to work
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group The doctoral student will join the research group of Associate Professor
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, immunology and how this relates to disease development experience in biostatistical analysis and programming in R Merits for the position: knowledge of virus-host interactions, immunology and how this relates
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educational programs in both Computing Science and Informatics, we are now seeking a doctoral candidate with a focus on AI models and policy applications for climate risk communication. This position is a