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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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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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duties are to do defect analysis and development of new techniques for sample preparation and imaging (for instance using luminescence and microscopy). Also, computer simulations can be performed. Examples
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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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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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recognized high-class entrepreneurship education and research arena. SKJCE conducts research in areas such as entrepreneurial learning and education, academic entrepreneurship, entrepreneurship ownership and
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their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar
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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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for three weeks of training in higher education teaching and learning. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree
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systematic research to solve them, if necessary, by learning/adopting new techniques/theories thoroughly understand and conduct good research practices according to the desired time table. be creative and