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sufficient theoretical and practical knowledge of deep learning methodologies. Informal enquiries may be addressed to Dr. João Henriques (email: joao@robots.ox.ac.uk). For more information about working at
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truly an international place of knowledge. Within the Faculty of Science and Engineering (FSE), the Bernoulli Institute conducts research combining theoretical as well as practical aspects of three
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a deep theoretical understanding of AI, practical proficiency in using AI will be considered in the selection process. A background in causal inference using econometric methods that can be used
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Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences and should hold sufficient theoretical and practical
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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specifically, the position will involve dense research activities in the area of designing, experimenting and theoretical development with the following combined research areas linked with National, European and
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of Psychology, there is a vacancy for a postdoctoral research fellow position within the fields of theoretical and applied aspects of artificial intelligence in clinical, applied or cognitive psychology, health
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at international conferences. This vacancy involves Task 3.1 of ‘The Power of Size’ project, which is aimed at deriving theoretical and empirical scaling relationships linking species richness, trophic level
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. Developing a strong field, genomic, or theoretical component would be welcome. This position will also supervise and mentor graduate and undergraduate students, analyze data, lead writing peer-reviewed
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biology, 3D-imaging or a similar scientific field. A thorough theoretical and practical training in molecular and cell biology is a prerequisite, with knowledge within the fields of photoreceptor and/or