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level or above related to data science and/or computational chemistry. The data science expert, preferably with research experience in Chinese Medicine-related projects, will interact closely with
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 1 day ago
% of the initial award value per year. Interested applicants are invited to review the program details: https://www.canada.ca/en/impact-plus-chairs.html . Candidates may also be considered as a nominee for a Canada
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standard operating procedures. Demonstrated excellence in communications, computer skills, and personal interactions. Experience interpreting and applying regulations, policies, and procedures. Position
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- 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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degeneration-associated pathways. The project will combine human cell models, advanced 3D bioprinted disc analogues, proteomic mapping of CD24 interaction networks, and newly developed conditional mouse models
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. The college provides an interactive environment with numerous, well-equipped and subsidized core facilities (http://www.einsteinmed.edu/home/shared.asp). POSITION RESPONSIBILITIES The Department of Genetics
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procedures, data, and situations for conformance with established guidelines. Teaching and communication skills necessary for interactions with department staff and other UC employees as necessary. Computer
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Interaction (HCI). The position will collaborate closely with (1) the NTNU Shore Control Lab (SCL), a design and human factors research environment focusing on human-centered design of technology for safety
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for the high quality of its academic programs, focus on maintaining strong student/faculty interaction, and innovative faculty research. General Information: The Department of Management in the College
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges