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Field
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chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources
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chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources
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is extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a
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families across taxa and environments. Your group The Finn Research Group currently comprises two PhD students and two post doctoral fellows. This team is closely aligned with the Microbiome
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families across taxa and environments. Your group The Finn Research Group currently comprises two PhD students and two post doctoral fellows. This team is closely aligned with the Microbiome
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families across taxa and environments. Your group The Finn Research Group currently comprises two PhD students and two post doctoral fellows. This team is closely aligned with the Microbiome
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Required Education PhD in environmental science, hydrology, civil or environmental engineering, geography, computational social science, or a related field with a focus on quantitative modeling and/or
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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
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programmes Contribute to the development of research strategies Publish results of own research Supervise PhD students Contribute to the Department/School through management/leadership Develop and make
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: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants with a PhD in a quantitative and biologically oriented field (computational biology, bioinformatics, systems