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The University of North Carolina at Greensboro | Greensboro, North Carolina | United States | 19 days ago
analyzing and testing system updates, implementing changes, creating and maintaining documentation, conducting research, and performing data analysis. The role requires close collaboration with the University
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discoveries from the laboratory into the clinic to provide the treatments and medical interventions of the future. Our team has expertise in the design, conduct and analysis of multi-centre, interventional
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of molecular complexes bound states 4. Required: Programming skills and experience in numerical methods 5. Preferred: Knowledge of the theory of molecular shapes and collision-induced optical resonances 6
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multiple and complex cases effectively and concurrently Applicants must demonstrate an ability to develop inclusive and equitable relationships within our diverse campus community Applicants must demonstrate
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: Collect, manage, and rigorously analyze complex datasets; interpret results; critically evaluate existing literature; and generate original insights that align with project goals. Disseminate Findings
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clinical research activities, such as a clinical database and biorepository. Positions at this level may perform expert and efficient integration of multiple complex programmatic activities, applying a
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teams: Langues et Langage, Processus Langagiers et Cognitifs, and Cognition en Situations Complexes (https://clle.univ-tlse2.fr/ ). The ANR COPYCAT project is led by Prof. David Vaidis, a member of the
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environment at POLITEHNICA București are a must. Experience in optical sensor modeling, image formation processes and computational methods for highly complex image analysis, i.e. satellite images is a must
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well as industry regulations. Performs data migration and integration tasks across multiple systems, maintaining data integrity and accuracy. Analyzes complex business problems using data-driven approaches and
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areas described above, focusing on water, stormwater, and wastewater infrastructure systems and data analysis related to infrastructure resilience. Participate in planning, designing, and conducting