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candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics
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on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Experience and skills Required experience and skills: Extensive
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independently as well as in a multidisciplinary team. Research experience in analysing infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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applications related to environmental systems and decision-making under uncertainty. Contact Information Project C Christian Ewald, Department of Mathematics and Mathematical Statistics, Umeå University
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, or closely relevant fields • Expertise in developing novel statistical and mathematical models for addressing data challenges in real-world applications • Publications in top data science and machine learning
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qualification is an earned Ph.D. in Mathematical Sciences, Statistics, Data Science, or related fields. The appointment is for 3 years. Per funding requirements, only US citizens and permanent residents
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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– Abilities Biology, Chemistry, Mathematics, and Statistics. Documentation and records management Data utilization Complex problem solving and critical thinking Resource management Writing skills Preferred
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, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a