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Field
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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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in computer science, mathematics, engineering, or a quantitative social science or digital humanities discipline. Experience of working as a legal engineer, knowledge engineer or legal technologist in
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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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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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or expect to hold a Ph.D. degree in Mathematics. 2) Have a solid background in one of the following fields: Kahler geometry, geometric PDEs (Ricci flow, harmonic map, Hermitian-Yang-Mills connection
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: Postdoctoral Fellow (no. of vacancies: 3) Start date: Flexible (two-year appointment) Requirements: 1) Hold or expect to hold a Ph.D. degree in Mathematics. 2) Have a solid background in analysis. 3) Aged under
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(two-year appointment) Requirements: 1) Hold or expect to hold a Ph.D. degree in Mathematics. 2) Have a solid background in one of the following subjects: Dynamical Systems, Number Theory, Several
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priorities. Other duties as assigned. Knowledge – Skills – Abilities Required knowledge: Biology, Chemistry, Mathematics, Statistics, Documentation, Records management, Data utilization, Complex problem
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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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Sun Yat-Sen University, School of Mathematics (Zhuhai) Position ID: 1695 -POSTDOC2 [#26601] Position Title: Position Type: Postdoctoral Position Location: Zhuhai, Guangdong, China [map ] Appl