835 data "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Harvard University
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, Windows, and VMware computer environments and related computing networks, including computer hardware, system software, applications software, networking, and all configurations. The System Administrator
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protocols and abilities in laboratory techniques. Minimal computational skills (Excel, PowerPoint) are essential. Also essential are good communication skills, both oral and written. Additional Information
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, United States of America [map ] Subject Areas: Computer Engineering / Cloud Computing , Cybersecurity , Software Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA
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software and data services that support and enrich research productivity and reliability. Develop software and data services with researchers to ensure that modern standards of reproducible research
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Information Standard Hours: 30 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening: Identity, Education, Motor
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work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large part of
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their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations of research institutes. Please include
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Description The laboratory of Prof. Paola Arlotta invites applications for a Ph.D.-level Postdoctoral Fellow or Research Scientist with strong expertise in systems-level electrophysiology and neural data
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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working with a computational biologist to guide the construction of computational pipelines for analyzing complex experimental data. In addition, the candidate will also work directly with trainees and