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, experimental frameworks and evaluation methodologies. We are seeking someone with a PhD or near completion in Artificial Intelligence, Computer Science, Machine Learning or a closely related discipline, together
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capture how a dense fluid migrates, spreads and becomes trapped within a deformable, yield-stress material. Working alongside a co-supervised PhD student and the wider investigator team, you will build and
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. The successful candidate must hold a PhD in particle physics or a closely related discipline. This is an exciting opportunity to develop your research expertise, collaborate within a leading particle physics
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Engagement: Participate in departmental workshops, research committees, and occasional research-aligned teaching development activities. What We’re Looking For Qualifications A PhD in Computer
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findings at major conferences and workshops Contribute to the supervision and mentoring of PhD and Honours students About you You will hold a PhD in physics, materials science, engineering or a related
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activity. The probes to be developed will utilise a quantum sensor based on optically detectable defects in diamond that are sensitive to magnetic fields. To be appointable into this role you will hold a PhD
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extended periods of international fieldwork. About You As the successful candidate, you will hold a PhD in economics, agricultural economics or a closely related discipline, with strong quantitative and
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the goal of protecting 30% of lands and waters by 2030. The successful candidate will have a PhD in conservation science, applied ecology, decision science, marine ecology, environmental science or a closely
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students while contributing to a vibrant academic environment. What You’ll Bring Education: A PhD (or near completion) in Chemical, Mechanical, or Minerals Engineering, Applied Mathematics, Physics, or a
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degree, progress towards a PhD, or a completed Doctoral qualification (PhD) in structural biology, biochemistry, microbiology, or a closely related discipline. Essential Knowledge & Skills: Protein