30 computer-science-programming-languages-"the"-"U"-"UCL"-"O.P" positions at Cedars Sinai Medical Center
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. Experience: Five (5) years minimum experience in related field, or equivalent combination of education and experience. Must be proficient working in SAS, STATA, R, Python, or similar programming languages
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Knowledge, Skills, Abilities: Ability to read and communicate effectively in English Basic computer knowledge Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care
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literature into operational computer applications using appropriate programming languages. Participates in professional meetings to assure positive representation at local, national and international levels
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supports applications written in various programming languages using current and new development technology including J2EE, JSP, Servlets, JavaScript, HTML, XML and Oracle. Scopes, implements, tests and
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programming languages using current and new development technology including J2EE, JSP, Servlets, JavaScript, HTML, XML and Oracle. Has a solid understanding of web application development technologies and
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The Department of Cardiology, Smidt Heart Institute at Cedars-Sinai Medical Center has an exciting opportunity for a clinician-scientist to join our nationally recognized program within our
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. Ability to perform relevant mathematical calculations. Has computer competency including MS office, Web/Vs, Emdeon and CS-Link. Excellent verbal and written communication. Professional and courteous
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skills and be able to prepare computer-based incident reports and logs. Effective written and oral communication and interpersonal skills with the ability to deal with all levels of personnel, the general
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, Biophysics, and related fields). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as Python or Matlab. Experience with in vitro and in vivo
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computing is a plus as well as familiarity with high-level programming languages such as Python or Matlab. Familiarity with in vitro and in vivo electrophysiological monitoring techniques and analysis