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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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AI technology for the robotic system. Perform testing and validate the performance of the developed gripper system. Job Requirements: PhD Degree in Mechanical Engineering, Electronic Information, Data
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external partners; and contribute through presentations, publications, and strategic activities. REQUIRED: PhD, MD, or equivalent by December 31, 2025; strong interest in interdisciplinary health/life
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Excellent German and English language skills, both written and spoken Desirable Qualifications (Preferred): Doctorate (PhD) in psychology, health sciences, or comparable fields of study Experience in
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deployment in cloud using the latest approaches to the containisation and orchestration Essential Criteria Grade 7 Qualifications Honours Degree and PhD in an appropriate discipline such as Earth observation
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for interdisciplinary collaborations. The position additionally offers travel support for conferences and meetings and a monthly housing allowance. Qualifications • Qualifications/ Discipline: PhD in Physics, Data
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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Impact; and produce publications and other forms of research dissemination. The successful applicant will have (or be near to completion of) a PhD in History, Art History, Archaeology or Museums and
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), or for application process queries Ruikang Xue (ruikang.xue@ucl.ac.uk). About you The successful candidate will have a PhD qualification, extensive knowledge and expertise in additive manufacturing, surface and bulk
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Education Requirements: Doctorate (MD, PhD, VMD, or DDS) in an area directly related to field of research specialization or related. Experience: Works independently on research projects developed by a mentor