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information technology, facilities and operations, human resources, marketing, graphic design, data analytics, cybersecurity, legal counsel, communications, finance, operational health services, and other professional
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researcher with a strong quantitative profile, excellent analytical skills, and a clear interest in publishing high-quality empirical research. The successful candidate will primarily work on a randomized
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qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity to interrogate publicly available resources. Preferred Qualifications Education: No
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for the sustainable planning of wind power in forest landscapes. For more information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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Position Details Position Information Recruitment/Posting Title Postdoctoral Research Associate in Pharmacoepidemiology Department Institute for Health, Health C Salary Details A maximum of $80,000
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related field, with no more than 5 years post receipt of the PhD. Excellent experimental and analytical skills relevant to the project are required. Candidates with a demonstrated history of peer-reviewed
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computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data analytics, including correlation analysis and machine learning techniques. Preferred