177 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" research jobs at Rutgers University in United States
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communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Must
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safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation for individuals with disabilities
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school. Specialty services include the New Jersey suicide prevention helpline and peer help lines for police, veterans, active military, teachers, mothers of special needs children and child protective
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experience in a research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics
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Knowledge, Skills, and Abilities Excellent data analytics and data visualization skills. Good communication skills and computer literacy to include industry standard software. Excellent interpersonal skills
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Candidates must have the ability to work independently as well as collaboratively within a diverse group and be willing to learn techniques and methodologies. Candidates must be highly motivated, creative and
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for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other
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, Skills, and Abilities Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, python, etc. Must be computer literate with proficiency and working knowledge
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Strong background in quantum chemistry, computational physics, or machine learning; Proficiency in scientific programming; Excellent communication and scientific writing skills. Preferred Qualifications
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, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional