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Field
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are looking for highly motivated candidates with: A strong academic background in computer science, AI/ML, bioinformatics, or related fields such as mathematics and statistics Experience or strong interest in
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, statistics, chemistry or a related area, with extensive research experience and a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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to benefit from training and development opportunities associated with these bodies. Entry requirements The minimum entry requirement is 2:1 in Biology, Food Sciences, Sociology, Mathematics, Statistics
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The department of Statistics at Umeå School of Business, Economics and Statistics (USBE), is looking for one
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, or Matlab). The student should also have a basic knowledge of statistics and an interest and enthusiasm for weather-energy and climate energy links. Support: The student will have weekly meetings with
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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extraction techniques. Strong knowledge of protein science and its application in food systems. Proficiency in analytical techniques relevant to food and protein characterization. Skills in statistical
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming