175 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Baylor College of Medicine
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laboratory and assist Faculty in teaching and/or research programs. The ideal candidate will have experience in Life Science with high levels of energy, willing to learn and help, self-discipline, sense of
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cohorts with rich clinical data. Works on advanced modeling of post tuberculosis lung disease risk using approaches including generalized organoid models, and linear models and deep learning. Minimum
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understanding regulations related to human subjects’ research. The internship is designed to help the participant learn how research teams operate, how study data are collected and verified, and how to contribute
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assessments of cognitive, sensory, and everyday functions, as well as neuroimaging and specimen collection. The study population will include both active and former military service members. The position will
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. Participate in inpatient cardiology consultations at BSLMC as appropriate. Teach and mentor fellows, residents, and medical students. Engage in departmental meetings, service line discussions, and educational
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phenotyping, handling of infectious diseases, and in vivo imaging Experience with or willingness to learn Microsoft PowerApps, PowerBi, and PowerAutomate Work Authorization Requirement: This position is not
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be expected to teach fellows within the BCM Endocrinology Fellowship program. The Section of Endocrinology at BCM has over 20 faculty members with multiple active research grants from NIH, VA, and
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not limited to, animal holding rooms, computer server systems, and research sensitive areas where the climate must be at tolerable levels at all times. Must be willing to work any shift. Must be
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proficiency with computers, internet and Microsoft Office applications. Requires the ability understand and implement patient studies and protocols. May require experience with computer spreadsheets and
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Simulation Center (CSC) teaching and assessment events. The Operations Specialist facilitates high-fidelity human patient simulated learning, manages simulation equipment, media, computers, and materials