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occasional laboratory settings. The physical demands are primarily sedentary, involving extended periods of sitting, computer use, and engagement in virtual or in-person meetings. Ability to perform light
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and on the telephone; and to effectively respond to individuals who may be angry or upset. Ability to efficiently use computer system applications for all functions required for this position, including
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the following conditions: Scientific Area: Computer Science. Admission Requirements: Academic qualification: Master's degree in Computer Engineering, Computer Science, Electrical and Computer Engineering, or
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researchers Background in sensing technologies, computer vision, or perception Foundational knowledge of machine learning and data-driven methods Experience with robotic fabrication, custom tools, or end
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Skills or Knowledge: Basic computer proficiency including computer programs and standard laboratory equipment. Knowledge of relevant scientific fields. Knowledge of regulatory policies and procedures
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, geospatial data, and machine learning methods. No candidate is expected to have proficiency in all of these computer-based skills. Rather, the ideal candidate will be a well-rounded individual with a high
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, and proteomic data and manage them in the data repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
. Criteria of the candidate To be considered for this role, you will ideally have: PhD in Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques
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skills. Ability to work independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with the use
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researchers. Candidates must hold a PhD in Computer Science, Computer Engineering, or relevant discipline, with no more than 5 years post receipt of their PhD. The ideal candidate will have stellar publication