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Field
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positions) / a PhD (Postdoc positions) in natural sciences (i.e. Chemistry, Physics, or Materials Science) preferably with a specialization in theoretical chemistry, or applied mathematics An appropriate
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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to Science, Technology, Engineering, or Mathematics (STEM) conferred by the time of hire or by December 2025. Must be a US Citizen or Permanent Resident as per sponsor's (National Institutes of Health
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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We are delighted to announce the availability of an exciting position for an early career researcher with expertise in marine ecology and statistical analysis to contribute to our research on aquatic resources in the Baltic Sea. About the position This is a postdoc position at the Swedish...
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/algebraic statistics in the School of Mathematics at the University of Edinburgh. The post is available from 1st September for a 36 months fixed-term, full-time contract with a potential 6 month extension
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schizophrenia. Preference will be given to applicants who have received their Ph.D. degrees in computational neuroscience, physics, mathematics, computer science, or related fields within the last 3 years and
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neuroscience or equivalent field. Sufficient mathematical, biological, or equivalent expertise to perform research. Preferred Qualifications: Experience in behavioral neuroscience, good writing and speaking
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stability and instability, and the first steps of transition towards turbulence that appear in several disciplines across science, technology, engineering, mathematics, and innovation. Candidates must hold