75 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions in Sweden
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LTH on lth.se . Subject and project description Through the Wallenberg AI, Autonomous Systems and Software Program (WASP) we now offer a new doctoral student position in the field of Applied
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orienteering. The School of Sport Sciences also coordinates the university’s elite student-athlete programme under the concept of dual careers. Since 2015, Umeå University has been designated a Swedish National
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at the nanoscale. The Division has a strong commitment to undergraduate education, not least in the Master's programme "Engineering Nanoscience" at LTH. This position is part of a research group consisting of three
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. The center is led by Linköping University with Lund University as a partner. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as
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, third-cycle courses, seminars and conferences. You will plan and carry out studies with increasing independence, in collaboration with the supervisory team and project partners. The work duties include
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doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. Since the project is conducted in the context of the ELLIIT and NextG2Com
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education in experimental medicine. The successful candidate will therefore be expected to be prepared to take on key leadership roles at course or program level within the Medical Programme or Biomedicine
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research partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing
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programme. The programme comprises 25 credits and is offered at two study rates: 25 credits over eight semesters, corresponding to four years of full-time study, or over twelve semesters, corresponding to six
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale