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/ ) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion
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prominent place in Scandinavian mathematics. The department consists of three divisions: mathematics, computational mathematics and mathematical statistics. Researchers at the division of mathematical
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, is seeking to recruit a fulltime PhD student at the UiT The Arctic University of Norway for a cross-disciplinary project across machine learning, statistics and logic, which is ambitious, timely, and
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position in the field of Machine learning meets choice models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent
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than 12 months in the 36 months before the recruitment date. Master Degree (or EU-equivalent) in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, Physics or a related field
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Ref. No. SU FV-0833-24 at the Department of Statistics . Closing date: 25 April 2024. The Department of Statistics has 1 open doctoral studentship in Statistics beginning 1 September 2024
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16 Apr 2024 Job Information Organisation/Company Chalmers University of Technology Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Sweden Application
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 1 day ago
applications Supervision over students Specific Requirements M.Sc. degree in Math, Statistics, Physics, Computer Science or related quantitative discipline Background in statistics, machine and/or deep learning
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/ ) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion
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://www.scilifelab.se/data-driven/ ) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded