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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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international journals A willingness and ability to help with the supervision of PhD students Excellent communication and organizational skills, and a proven ability to work well within teams The appointment is
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for the position of Research Fellow. Key Responsibilities: Conduct research on mechanics of soft robotics Collaborate with team members (Research Associates, Project Officers, PhD students), and mentor undergraduate
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work aligned and life-changing. The College is renowned for its
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September 2025, with an end date of 15th of June 2026. Your skills and attributes for success: A PhD or last year PhD student in Statistics, Operations Research, Computational Sciences or Economics
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. Develop additional research hypotheses based on existing data to supplement existing projects that measure interdisciplinary and collaborative learning and its impact on students. Completion of progress
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the Scottish Oceans Institute. You will join a growing team comprising another PDRA and two PhD students, and you will have the opportunity to contribute to broader project themes, including wave–mean flow
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
is important to note that this position is contingent on T32 funding. Education and Experience: PhD in Computer Science, Bioinformatics, Computational Biology, or related discipline. Knowledge of