22 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Lund in Sweden
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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
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. The position shall include the opportunity for three weeks of training in higher education teaching and learning, as well as opportunities for supporting Prof. Kamerlin in the co-supervision of degree projects
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: Research within the area of visual ecology and invertebrate vision. Teaching in the first, second and third cycles of studies Opportunity for training in higher education teaching and learning shall be given
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learning. The purpose of the position is to develop independence as a researcher and to create the opportunity of further development. Detailed description of the work duties, such as: To build thermal
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learning. The purpose of the position is to develop independence as a researcher and to create the opportunity for further development. The postdoctoral position includes a combination of experimental work
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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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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