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- University of Helsinki
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As part of the Faculty of Science, the Department of Mathematics and Statistics of the University of Helsinki is the biggest university department of mathematical sciences in Finland
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. Outstanding researchers from the areas of Machine Learning, AI, Robotics, and related areas including Reinforcement Learning, Control Engineering, Computer Vision, Statistics & Optimization, or Mathematics
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, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in at least one of these three key areas: quantitative User studies, statistical modelling of human experimental data
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skills. Fluent oral and written communication skills in English are required in the position. We appreciate skills in wildlife ecology, statistical methods, fieldwork and in handling remote sensing and GPS
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, Chemistry and Geology (main subjects: Mathematics and Statistics, Physics, Chemistry, Geology and Mineralogy) Three of the positions start on August 1, 2024. The remaining three positions start in January
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Engineering, Computer Science) Mathematics, Physics, Chemistry and Geology (main subjects: Mathematics and Statistics, Physics, Chemistry, Geology and Mineralogy) Drug Research (main subjects: Drug Development
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, statistical analyses, research interviews, and any other research tasks. The topics you may work on are varied and broad, such as headquarters (re)locations, diversity, sustainability, human resources, and
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background, especially in quantum mechanics and statistical physics. Knowledge of materials physics and/or AMO physics is considered an asset. Projects (main supervisor): OpenFloquet: Periodically driven open
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to this call will also be considered eligible to apply. Prior experience and knowledge on computational/medical imaging, imaging, mathematical and statistical modeling and/or related inverse problems. Potential
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closely with VATT Institute for Economic Research . Qualifications The appointee to the position must hold a doctoral degree in economics, econometrics, statistics, or another relevant field and have strong