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Chair Prof./Prof./Associate Prof./Assistant Prof./RAP in Faculty of Computer & Mathematical Sciences
, research and knowledge transfer to nurture socially responsible professionals and leaders, as well as to drive impactful research and innovation. PolyU will strive to continually excel as an innovative world
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certification and military benefits. Comprehensive and detailed knowledge of the university infrastructure. Ability to quickly learn and apply a variety of county, state, federal, CSU, and SJSU policies and
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will also need strong organizational, prioritization, basic computer navigation skills, and a working knowledge of the Internet. Does this position have supervisory responsibilities? No Preferred
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will also possess: Prior experience with SELEX methods and basic knowledge of chemistry and bioinformatics workflows in preferred. Knowledge of computers and computer software related to the position
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/Office/Project; SAP; KRONOS Minimum of five (5) years related facilities healthcare maintenance including knowledge of machines and tools, their designs, uses, and repair — Preferred Knowledge of building
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training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years of postdoctoral experience
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development experience a plus. Proficiency in MS Office Suite Products and leveraging the Internet. Knowledge of, and use of Blackboard Learning Management System is preferred. Able to make decisions and work
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to the student and administrative/faculty members as appropriate. Other duties as assigned by the program administrator. Basic knowledge of technology-mediated platforms for blended learning and computer software
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research themes include Affective Science; Neuroscience; Personality and Individual Differences. To learn more please visit our site at https://artsci.tamu.edu/psychological-brain-sciences/index.html We
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knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics