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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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requirements for an individual applicant, if there are special grounds (Chapter 7, § 39 of the Higher Education Ordinance). For special entry requirements, please see the subject’s general study plan . We
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an exceptional opportunity to be an active member in an innovative, multidisciplinary research program at the interface of plant research, biochemistry and microalgal biotechnology. Qualifications To be admitted
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the duration of the program to guarantee four years of graduate studies. For more information about doctoral studies: Doctoral studies, the Faculty of Social Sciences . The starting date for the position is
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to take courses specified in your study plan, to work independently on your PhD project as well as collaborate within the research group, and to participate in seminars and other department activities
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at the Faculty of Medicine will be part of the faculty-wide doctoral education programme. The doctoral programme comprises 25 credits and is offered in two study variants: 25 credits spread over 8 terms (a total
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specialising in environmental science are carried out at the department. First cycle studies include a bachelor's and a master's programme, as well as stand-alone courses and teacher-training courses in
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previous experience with e-graphs, or is familiar with theory and algorithms used by, for example, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers
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to third-cycle courses and study programmes at a higher education education as well as basic eligibility requirements and assessment criteria, are regulated in the Higher Education Ordinance chapter 7 §§ 34
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able to plan, organise and prioritise your work effectively Your workplace Tema T - Technology and Social Change - is a nationally and internationally leading environment for research and education