572 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" Fellowship positions in United Kingdom
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- VIN UNIVERSITY
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We are looking for someone with a PhD in relevant scientific discipline (e.g. Physics, Mechanical Engineering, Biomedical Engineering, Computer Science, Electronic Engineering, Robotics), a proven
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DETECTOR, amongst others. Although this is not a technical role, a good understanding of technology and emerging trends in technologies would be advantageous. The role holder will prepare and conduct
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Systems Engineering), along with excellent computing and programming skills in multiple languages and environments. You will also need a problem-solving ability to manage and analyse manufacturing datasets
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research experience in chemistry or biochemistry and a keen interest in developing molecular tools to probe complex protein/glycan interactions? Are you eager to develop your expertise, push the boundaries
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experience and a keen interest in developing physics and chemistry tools to reveal complex protein/glycan interactions? Are you eager to develop your expertise, push the boundaries of knowledge, and pursue a
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experience and a keen interest in developing physics and chemistry tools to reveal complex protein/glycan interactions? Are you eager to develop your expertise, push the boundaries of knowledge, and pursue a
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. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
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research on the science, engineering and management of water, and we have been driving innovation for over 40 years. You will contribute a major UKRI-funded programme, tackling one of the most urgent global
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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Primary Lymphoedema utilising a range of computational and statistical approaches. We are seeking a candidate with a background in computational biology and experience in the analysis of genetic data