66 computer-science-programming-languages-"CNPEM" positions at University of Lund in Sweden
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consideration in our relationships with each other. Doctoral Research Subject Medical Science Project description This is a PhD project in Medical Science with a focus on Family Medicine, prevention and primary
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meets the specific admission requirements for third cycle studies in Food and Formulation Engineering if the applicant has: at least 60 credits in the subject of the third-cycle programme, of which
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empirical methods as well as engagement with actors and users of our science and case study work related to ongoing projects in Sweden. This includes reviewing interdisciplinary literature on social
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degree in economics/health economics (min 60 hp). the applicant must have English language skills equivalent to at least upper secondary school level (3 years). strong ability to be flexible and work
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temporal scales. Using existing computational models to simulate atmospheric chemistry and transport, to enable the scientific linkage between independent datasets. Qualification requirements Appointment
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. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Documented experience of programing and/or
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emphasizes interdisciplinary collaboration and cross-sectoral training, involving academic, industrial, and clinical partners. Each doctoral candidate will benefit from a comprehensive training programme
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Description of the workplace The position will be based at the Division of Computer Vision and Machine Learning (CVML) at the Centre for Mathematical Sciences (https://www.maths.lu.se). CVML has
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eco-evolutionary physiology and thermal biology. Work duties The position is linked to the research program "HotLife – Pathways to Survival in a Warmer World," funded by the European Research Council
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Wallenberg National Program for Data Driven Life Science (DDLS) aims to recruit and train the next generation of data driven life scientists and to create globally leading computational and data science