2,241 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Rutgers University in United States
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experience working with research animals is desirable but not necessary. The applicant should also be able to operate standard laboratory equipment such as centrifuges, culture hoods, incubators, PCR machines
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Abilities Strong quantitative and programming skills (e.g., MATLAB, Python, R). Solid background in signal processing, statistics, or computational neuroscience. Excellent written, verbal and computer skills
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environment is required. Basic word processing and computer skills are required. Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Physical Demands: Position requires standing
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team environment is required. Basic word processing and computer skills are required. Preferred Qualifications Preferred to have at least two (2) years of experience. Equipment Utilized Physical Demands
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at the computer for lengths of time. Ability to work in an office and morgue environment; no specific physical demands. Work Environment: Office and Morgue environment. Moderate noise. Special Conditions Posting
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to maintaining high standards of research integrity and compliance with institutional guidelines. Excellent written, verbal, and computer skills. Detail oriented and highly organized. Attentive to record keeping
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academic standing. Certifications/Licenses Required Knowledge, Skills, and Abilities Strong attention to detail and excellent organizational skills required. Basic computer proficiency, including file
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, community provider agencies and state officials. Must be able to function as a member of a team. Must be available to work flexible hours including weekends and evenings. Must have computer skills including
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, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information
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, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected