32 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at University of Lund
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learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted for experimental evaluation. Work duties The main duties involved in a
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the position, but up to no more than 20% of working time. Teaching may involve course student lab supervision, tutoring of problem-based learning, or lecturing. The position includes the opportunity for three
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members of the research group. Publish scientific articles, both independently and in collaboration with others. Teach up to 20% of your working hours. Qualifications Requirements for the position
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research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
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periods, and has a strong sense of service. The work also requires good verbal and written communication skills in both Swedish and English, as well as strong computer skills and proficiency in Excel
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learn more about how it is to Work in Lund , Move to Lund and Live in Lund . Job description The main tasks are teaching in undergraduate and postgraduate programmes and research. Teaching duties will
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find more information on our research website . We care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning
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the future of research? Find more reasons why Lund University and the Faculty of Science are right for you, [here ] and [here ], and learn more about Working in Lund , Moving to Lund , and Living in Lund
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of all breeding GRW, collect blood samples and data of breeding performance. The project gives excellent opportunity to learn DNA techniques, statistical methods, and fieldwork. In addition to studies, a
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. The position shall include the opportunity for three weeks of training in higher education teaching and learning. The project has two parts: i) development of a universal cryo-Cage for structural determination