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of data from Gaia DR4 and/or the Nancy Grace Roman Space Telescope. The successful candidate will have access to data from surveys including SDSS-V, ZTF, and Euclid, as well as opportunities to propose
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Chemical and Biomolecular Engineering - Post
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& Responsibilities Independently conducts research including, but not limited to, constructing hypotheses, design and planning of research studies, data management, model development, conducting experiments
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in the mentorship of graduate and undergraduate students, providing guidance on experimental techniques, data analysis, and project development. Contribute to grant writing, including assisting in
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 12 hours ago
for detailed information about acceptable transcripts A current resume or CV Two educational or professional recommendations You must provide contact information for at least two recommenders in your application
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data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying the different nucleation pathways for ice formation. You will collaborate with other researchers
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responsible for collecting and analyzing data, and for producing project reports and peer-reviewed journal publications. Qualifications: This position requires a PhD qualification in Mechanical Engineering
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8 Jul 2026 Job Information Organisation/Company AGH University of Krakow Department Academic Centre for Materials and Nanotechnology Research Field Chemistry Researcher Profile Recognised Researcher
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of educational backgrounds, ranging from microbial physiology and bioprocess engineering to applied optics and data science. Non-linear career path funding This one-year position is funded with