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This is an exciting opportunity for a talented and ambitious graduate, with experience in cell biology, to work on a programme of research that explores the role the tumour microenvironment plays in
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications 1. Must be admitted to a graduate degree program. 2. Must be
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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biology chemical, biomedical and materials science engineering chemistry civil and industrial engineering computing sciences electrical engineering evolution and ecology geosciences mathematical sciences
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internship opportunities in plant sciences. Gather and summarize student feedback to inform program improvements. The successful candidate will play a role in planning, organizing, and executing
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Researcher (Indonesia Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research-intensive and teaching
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Institute Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all
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or postgraduate, full-time or part-time enrolment in the Faculty of Science in study relating to Cybersecurity. A $5,000 Award for students from diverse backgrounds enrolling in a Master of Design programme. Apply
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A0036 Working Title Research Assistant in Manufacturing & Industrial Engineering Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to analyze ground magnetic field perturbations using machine learning techniques. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground...