757 computing-"https:"-"https:"-"https:"-"University-of-St" Postdoctoral positions in United States
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. QUALIFICATIONS PhD in Civil Engineering, Environmental Science, Computer Science, or a related field Research experience in hydrology, geospatial analysis, and machine learning Skills of scientific writing and
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. The scholar will perform computational and laboratory-based research to investigate viral deactivation under varying environmental conditions. This position will contribute to data analysis, experimental design
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-informatics, GIS mapping, and water quality modeling techniques to address complex environmental challenges. You will work closely with Dr. Seneshaw Tsegaye, Chair of the Department of Bioengineering, Civil
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, biochemical, and other molecular approaches. This will require working with robots, computers, specialized software, and stereomicroscopes in addition to the genetic and molecular biology benches. Baylor
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. Technical Proficiency: Skilled in laboratory or clinical research techniques depending on the research focus. Data Analysis: Proficiency with statistical and computational tools for quantitative and
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a particular emphasis on error-corrected methods for future fault-tolerant quantum computing. The algorithms will be designed to address key models of quantum materials, such as the Hubbard model
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related field and have a strong background in fMRI data analytic techniques. Computational and quantitative skills are highly desirable. While there will be opportunities for data collection and assessment
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
Job Description St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in infectious disease therapeutics. This NIH sponsored training program has been designed to leverage
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
/thrombosis, and non-malignant blood diseases, such as sickle cell disease, bone marrow failure syndromes, and myeloproliferative disorders. This premier NHLBI-sponsored T32 training program leverages
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or related areas; demonstrated publications; strong computational skills (e.g., Python, MATLAB); and experience analyzing large datasets and communicating results effectively. PREFERRED : Experience with