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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends
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doctoral coursework, with expected PhD completion in May 2026. · Experience in college-level teaching either as a faculty member or graduate teaching assistant. · Scholarly excellence through
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for the AASPI consortium. This includes developing new algorithms and functionalities, as well as maintaining and improving upon existing ones. This position will also be responsible in consortium member support
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experimental design and interpretation of results. Duties: Analyzes sequencing and proteomic data by importing, examining, and running statistical analyses and modeling algorithms. Analyzes data from a variety
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of this position are to: (i) develop novel mathematical/computational algorithms, biogeochemical models, or other mathematical frameworks enhanced by big microbiome data analysis; (ii) design and develop
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a 3-year DOE-sponsored project that started in September 2024. The Postdoctoral Research Associate working on P1 will develop and test deep learning algorithms for model emulation and model parameter
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bioinformatics analysis to large data sets in the biomedical research field. Equivalency/Substitution: Will accept a Master's degree in a biological science with 48 months of experience OR a PhD in biological
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Microscopy Laboratory , Kessler Field Site , Stable Isotope Measurement Facility , and the Mass Spectrometry, Metabolics, and Proteomics Lab Qualifications Required Qualifications · Earned PhD in
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Preferences: Master’s or PhD in Sport Science, Physiology, Biomechanics, Data Analytics, or related field Certified Performance & Sport Scientist (CPSS) and / or CSCS certification from NSCA preferred 2+ years
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communicate with collaborators, and publish in scientific journals. Will accept MD or MD PhD, or PhD. Working Conditions: Physical: standing for prolonged periods. reaching bending walking standing speaking