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policies and procedures, and recognize when specific situations require escalation or consultation. (Required) Strong analytical and organizational skills, including the ability to track information, manage
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shaping will be central to the study. The numerical model will be based on the boundary element method (BEM) and semi-analytical approaches developed at I2M. The experimental proof-of-concept will leverage
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be analyzed in terms of the generated radiation stresses. The project will combine analytical modeling, numerical simulations (FEM), and experimental campaigns, in collaboration with physico-chemist
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analytical field-theoretical approaches is desirable. Applicants who are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research
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the design, collection, and analysis of data collected through various avenues including but not limited to surveys, direct observations, focus groups, social media analytics, and google analytics. Research
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nucleic acids and peptides and their analogues will be advantageous. Knowledge and understanding of statistical analysis and key analytical techniques (e.g., NMR spectroscopy, mass spectrometry, UV
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at the NCAA Division I level. Familiarity with GPS tracking, Hudl Sportscode, Veo, and performance analytics. Proven recruiting networks within ECNL, GA, and international markets. Ability to work evenings and
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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to develop a powerful analytical workflow for the characterization and identification of the best hits while reducing reagent consumption. Miniaturized affinity chromatography in-line coupled with mass