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them using techniques such as Mössbauer spectroscopy. It also involves analysing data and preparing publications. Your profile The applicant will have experience in surface physics, particularly in
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data. Excellent written and verbal communication skills for technical reporting and cross-functional collaboration. Familiarity with experimental validation techniques for CFD models. Prior publication
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made. The project will involve using routinely collected healthcare data and/or large healthcare datasets such as the Clinical Practice Research Datalink. This is an excellent opportunity for someone
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basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed
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phone number, one of which must be your most recent line manager. For information about how your personal data is used as an applicant, please see the section on Applicant Data on our HR web pages - https
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
, machine learning and data analytics, multi-objective optimization, life cycle assessment (LCA), serious gaming, and other participatory research methodologies. Candidates should also demonstrate leadership
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26 Aug 2025 Job Information Organisation/Company Malmö universitet Research Field Physics » Biophysics Researcher Profile Established Researcher (R3) Country Sweden Application Deadline 29 Sep 2025
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transcriptomics, and large-scale transcriptomic data analysis. In addition, the candidate should have experience in using mouse tools to study conserved mechanisms in mice. Finally, a deep understanding of the
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to a graduate
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements