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troubleshooting custom measurement systems. Skills in data analysis including scientific programming. Ability to communicate professionally and work in interdisciplinary teams. Minimum Qualifications PhD in related
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of hypothesis-driven research projects. 15% – Analysis & Review • Analysis and review of generated data and reviewing previously reported scientific literature. 15% – Scientific writing and presentation Work
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languages for data analysis, model testing, and database development. Qualifications Desired: Previous experience with experimental molten salt characterization, which may include thermophysical
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samples, including aspects of sample preparation and data analysis Good presentation skills (written & oral) Qualifications of merit: Knowledge of other synchrotron X-ray/IR techniques Knowledge of lab
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modeling. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Experience with analysis of time series data. • Solid
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. Operates specialized scientific equipment. Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity and reliability of data
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for the design of synthetic promoters and data analysis. PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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all findings for review and analysis. Team Collaboration: Collaborate closely with multidisciplinary teams, including biomedical engineers, data scientists, and clinicians, to ensure the successful
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Observatory for Rare Events (CUORE) and the CUORE Upgrade with Particle IDentification. Candidates should have a PhD in experimental nuclear or particle physics, or the equivalent. Preference will be given