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Machine Learning Seminar Group Advanced Tutorial Lecture Series on Machine Learning Non-Parametric Bayes Tutorial Course (October 9, 16 and 28, 2008) Bayesian statistics in other labs Machine Learning and
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Norway. The candidate must be motivated and demonstrate a proven ability to work effectively within a team and in a collegiate manner to formulate and realise common objectives. Documentation of skills in
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leading Law Schools. Responsibilities Successful candidates will have a track record of publishing internationally leading research outputs, with an outstanding reputation in their own subject area. They
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has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives. If there are qualified
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Disrupted Planet ”. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period
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of these fields. They must be a strong team player and be able to communicate and work with the investigators and industrial partners. They will have a track record of publications in those fields commensurate
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duties such as secondments and interactions with the industry or the public sector (15%). The objective of the position is to complete research training to the level of a doctoral degree. Admission to
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been directly trained. The project will include “eye-tracking” technology to further examine the mechanisms of how these stimulus classes occur when faced with making choices. The project will therefore
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collaboration in Work Package 3, Professional Practices in Sápmi, at Arctic Youth. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme
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to knowledge development in both historical and contemporary studies of security policy and great power rivalry in the High North. The PhD candidate will be part of the PrePast research group. The objective