728 computer-science-intern "https:" "https:" "https:" "https:" "DESY" PhD positions in United Kingdom
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to acquire strong transferable skills (e.g. science communication skills developed by presenting results in group meetings and at national/international research conferences). Applicants should have or expect
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
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minimum of an upper Second-Class UK Honours degree or international equivalent in a relevant science or engineering discipline. Candidates must be UK Nationals and be willing to apply for and able to obtain
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training in social science research methods: 4.5 years (MA Social Research + PhD) 3.75 years (Integrated PGCert/PhD) 3.5 years (PhD only) Programme length is determined according to ESRC eligibility criteria
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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circadian biology, microbiomes, and cross-kingdom interactions, and are happy working within an international collaboration, this could be an ideal PhD opportunity. Entry requirements At least UK equivalence
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supervision from an experienced team spanning Manchester Met and Chester Zoo. You will benefit from a skills training programme through our Doctoral College, and will be based in the Faculty of Science and
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techniques from multiple fields spanning materials science, condensed matter physics, electronics and biochemistry. It includes Co-Supervisors with expertise across Graphene and 2D Material production, device
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) at the Rutherford Appleton Laboratory (RAL) in Didcot. This is an exceptional opportunity to work at the interface of artificial intelligence, computational imaging, and life sciences, supported by the Ada Lovelace