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the structure and function of chromatin-associated complexes involved in gene repression. About Us: We are a dynamic and international team working within the South Australian immunoGENomics Cancer Institute
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Chemical Engineering and demonstrate a proven track record of applying CFD methodologies to complex biological or medical systems. Essential Duties and Responsibilities: Lead and execute advanced CFD
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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of Health & Public Servic Department: UNT-Behavior Analysis-135320 Job Location: Denton Salary: $22.90 per hour FTE: .48 Retirement Eligibility: Not Retirement Eligible About Us - Values Overview: Welcome
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, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written and oral communication skills in both English and Chinese (Cantonese and
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis
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of Chemistry (Inorganic Chemistry). Our group investigates fundamental questions in bioinorganic chemistry using advanced spectroscopic techniques to understand the structure and reactivity of complex metal
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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plans, analysis, and presentation of data as well as other assignments related to scientific development (e.g. writing manuscripts, reviews, and supervising/teaching other fellows). Studies focus
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improvement, structure analysis, model building, and validation. Specific areas of research are investigation of multiprotein-nucleic acid complexes that are important in transcription, nucleoid associated