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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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dynamics and application of composite materials. Subject description Structural Engineering includes loads, design, sustainability, load carrying capacity, repair and strengthening, of buildings and civil
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the RELOC-AGE research programme. A web-based housing counselling service has been developed in the programme with the aim of supporting older people to make well-informed decisions about their future housing
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application! We are looking for a PhD student in theoretical physics with a focus on the theory of magnetic materials. Your work assignments Your tasks will be to carry out research using advanced theoretical
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and 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
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your application: Proven experience with data analysis and programming (e.g., GAMS, Matlab, Python or R). 7.5 credit course (or more) in sustainable energy futures Experience of other energy and
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of information efficiently. Great importance will also be placed on how the applicant, through their experience and competence, is assessed to have the ability needed to complete the doctoral program. We offer
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letter of intent (that describes why the applicant wants to become a PhD student), max 1 A4, and a research plan, max 3 A4. The research plan describes a possible research project within areas relevant
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for admission into the PhD programme quality of application documents academic merits and research potential personal profile and motivation fit with JIBS’ working culture and research areas fit with MMTC fit
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studies will be: • Plan and carry out field and greenhouse experiments with pea and faba bean diversity panels • Study and characterize traits such as flowering time, ripening time and cold tolerance