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Field
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consists of method development, in which existing simulation techniques are further developed using machine learning algorithms to enable more efficient, scalable, and realistic simulations and material
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terms The Doctoral student positions are fully funded from the start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five
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individuals Good computer literacy In addition, the following education, experience and expertise will strengthen an application: Experience of working with research team Experience and demonstrated expertise
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: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
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research and education, openness and collaboration. As a Teaching Fellow, you will contribute to this goal through engaging teaching and learning in a collegial and inclusive environment. The position also
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to undertake five weeks of training in teaching and learning in higher education. Work duties include: Research within the subject area. Teaching in the first, second and third cycles of studies. Supervision
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and application of AI/machine learning methods and statistical modelling for the analysis of biological and medical data. Demonstrated ability to communicate and present scientific research findings in
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, C++ or similar languages. Good knowledge of network communication and integration between different systems, such as robots, AI and digital twins. Good knowledge and experience of machine learning
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will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department. For more information about the department or division visit: https://www.slu.se/om-slu
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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation