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No Department(s) Mathematics and Computer Science Reference number V32.7436 Job description Random spin systems from statistical mechanics have been successfully used to study critical behaviour at the interface
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/continual learning with evolving data Job requirements Master’s degree in Mathematics, Statistics, Computer Science, or a related field Excellent analytical and mathematical skills Affinity with developing
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-design and a thorough statistical evaluation in field experiments. We will consider, among others, educational theories that focus on planning activities, such as goal-setting theory, feedback theories
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. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java, Python, Julia, MATLAB). A research-oriented attitude. Ability to be
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degree in Computer Science, Mathematics, or a closely related field. At least 5 years of study. Good statistical background and knowledge of probability theory Programming in Java or C/C++ English language
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, wireless communications, and detection and estimation theory (statistical signal processing). Knowledge of radar signal processing and/or coding theory is desirable. Proficiency in English (written and