29 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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learning and information theory, and expertise in at least one of the following areas is preferred: AI alignment, (differential) privacy, and coding or information theory for AI systems. Proficiency in
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. Candidates will need to have completed their Ph.D. or have it completed by the start of employment. Skills and Knowledge: Knowledge of modeling and data analytics to develop simulation codes and for conducting
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 21 hours ago
) Professional Coding & Revenue (4) School of Medicine Expansion (4) Surgery-Research (4) Surgery-Urology (4) TV Station (4) Biology - Instructional (3) Clinical Simulation Center (3) College of Nursing (3
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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-coding RNAs in neurophysiology and neurodevelopmental disorders. Basic Qualifications Applicants must have recently obtained a Ph.D. in a relevant field and demonstrated research productivity through peer
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& Aerospace Engin (6) Medicine-General Internal (6) Medicine-Pulmonary & Environ (6) Professional Coding & Revenue (6) Advancement (5) Auxiliary Operations (5) Dental Clinic (5) Design and Construction Mgmt (5
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biological measures. Develop, document, and refine reproducible analysis pipelines and workflows. Design, code, and troubleshoot experiments, including stimulus/task programming and hardware/software
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skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions Standard office environment
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targeted drugs. · Studying the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs). · Understanding the biological
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will join Andrej Prša’s research team and work on the PHOEBE code , developing the modeling proxy based on artificial intelligence (AI). The goal of the AI-powered model is to enable the autonomous