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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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. Required Qualifications: PhD or equivalent doctoral degree in chemistry, biochemistry, biophysics, structural biology, chemical engineering, materials science, or a related field by the start of
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the models to external users (engineers, operators, consultants, authorities) and supports scenario studies, sensitivity analysis and “worst‑case” decision support. Co‑author peer‑reviewed scientific articles
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 18 hours ago
. These positions are NIH funded and will involve investigating molecular genetic studies and functional characterization of Ehrlichia chaffeensis genes and proteins involved in regulating the bacterial gene
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Additional Information Eligibility criteria PhD in photonics, optics, telecommunications, signal processing or a related scientific or engineering field. * Strong knowledge of photonics and optical
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experience as follows: Essential: Hold a PhD in a relevant discipline at the contract start date. Relevant research experience. Self-starter who is comfortable with working independently at project level
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time path integrals for dynamics. Strong mathematical background and programming expertise is necessary. The candidate should have performed studies in the fields of Physics, Chemistry or Materials
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such as technology (digitalization, automation) and society, (normative) social theories, media ethics, political ethics, and business ethics. Your future tasks: You will actively participate in research
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. Fresh PhD graduates are encouraged to apply. The candidates are expected to: Carry out novel research and publish results at top conferences/journals. Contribute to supervision and training of graduate
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agencies, technology partners, and the World Health Organization. This is an exciting opportunity to join a highly collaborative, multidisciplinary research environment at the forefront of AI and global