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Field
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/data-driven modelling; parameter identification and optimization; scientific software development. Importantly, direct experience with PVD is not mandatory. Candidates with strong backgrounds in
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data and scientific software (OriginPro, R, Python or equivalent). Participation in competitive research projects. Applicants must demonstrate proficiency in English (minimum B2 level
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. Receive the IT support required by their research (e.g. specialized software or computation time). Additional Information The position is for up to four years, renewable annually based on performance
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software developed in the CMS collaboration. The candidate is expected to play a prominent role in ensuring the timely and successful construction of the upgraded CMS outer tracker. These activities will
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project ARQ001SOLC-261-2025: up to 15 points; Experience in the 3D documentation and recording of archaeological materials and in processing models using VXelements software: up to 5 points • Scientific
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analysis software or programming language (R, Python, Stata). Experience in comparative analysis. Ability to integrate into a project-related work team Ability to interact with academic stakeholders in
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partnerships (25%) Qualifications Required Qualifications: PhD in Kinesiology, Exercise Science, or Related Field; basic proficiency in statistical and qualitative analyses using relevant softwares; experience
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, including state-level health and social service data. • Strong quantitative analytic skills and experience using R, STATA, SAS, Python, or similar analytic software. • Experience with data linkage, data
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for the quantum era. The successful candidate will conduct interdisciplinary research on topics including: Security of quantum algorithms, quantum software, and quantum networks Quantum-safe cybersecurity
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-throughput phenotyping at ORNL's Advanced Plant Phenotyping Laboratory (APPL) with paired geochemical and microbial measurements. Utilize laboratory equipment and software that may include a Picarro gas