129 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Sweden
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may be considered if there are special grounds, such as sick leave, parental leave, clinical service, service as a union representative, military service or similar, or service/assignment of relevance
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, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant
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be eligible. Special reasons include absence due to illness, parental leave, military service or similar circumstances, as well as other forms of appointment/assignment relevant to the subject area
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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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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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capture. Ability to work independently, as well as in a group. Valid Swedish driver´s license as we use car to drive to field localities Other merits Utbildning: University education in i biology (Master’s
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broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has around 20 members. The main research directions are Cryptography, Privacy and System
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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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learn to see each other as learning resources and are trained in collaborative learning. The SI-leader´s task is to lead the students and structure the SI-sessions so that these run efficiently. The SI
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dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types