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will be integrated with statistical and machine-learning methods to classify polarity states and identify quantitative signatures predictive of metastatic behavior. The project will deliver transferable
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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sessions (in-person and virtual) on enterprise applications, collaboration tools, cybersecurity awareness, and other IT services. Creates and maintains user guides, tutorials, and multimedia learning
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economics. More information may be found at https://www.uta.edu/academics/schools-colleges/business/departments/economics College of Liberal Arts: All areas of Liberal Arts will be considered, including
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, funded by Kempe fundation is full-time for two years with access may 2026 or by agreement. Departmental specific information The research group led by Jonas von Hofsten (https://www.umu.se/en/staff/jonas
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contribute to a one-year applied research project funded by the Singapore Army, focusing on the development of a mobile DC microgrid for military tactical applications. The role involves designing and
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of Engineering and Technology is recruiting full-time faculty members as Laboratory Instructors for its Computer Engineering Department to start from Spring 2026 semester. Job Requirements A Master's Degree in
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skills with experience in cloud data warehouse systems such as Snowflake and data preparation tools like Tableau Prep Experience with predictive modeling, machine learning, AI applications, and advanced
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chemical analysis of pollutants. - Autonomy and initiative - Organization and rigor - Ability to work in a team - Proficiency in the necessary computer tools Website for additional job details https
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to offer a comprehensive benefits package to all our employees at the University. https://www.uta.edu/hr/employee-benefits To help you understand the full value of these benefits, we have created a tool that