95 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at University of Newcastle in United Kingdom
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care services. You will work with, and under the direction of, the Collaborations Programme Manager to support the effective delivery of MLTC CNC programme activity and the activity of its workstreams
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Programmes. The Newcastle University-CRUK Clinical Academic Training (NU-CAT) programme offers fully funded 3 year PhD fellowships for clinicians wishing to develop an academic career in cancer research
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developing new or improved methods for experimental systems To contribute to the structural biology programme and to be responsible, following consultation with academic staff, for (i) recombinant expression
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supervised by senior research academics in the field (Dr Alessandra da Silva Dantas, Dr. Adam Wollman and Prof Nick Jakubovics). They will work as part of a professional community to provide a technical
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Context The Great British Chemicals programme is a flagship investment funded by the Engineering and Physical Sciences Research Council (EPSRC) and Natural Environment Research Council (NERC). We will make
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that they are effectively supported throughout their programme. This will include acting as front-line support for student queries in a range of locations on a rota basis. You will possess good organisation and communication
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contact: [Dr Apoorva Peddada- apoorva.peddada@ncl.ac.uk] Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here
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Design of Experiments (DoE), computational guidance and laboratory automation to rapidly explore and improve pathway performance. The post offers excellent opportunities for publications, collaboration and
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https://www.ncl.ac.uk/gears/about/ You must be able to undertake occasional travel and working off-site both in the UK and abroad. The role is initially for three years on a fixed-term contract basis and
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Candidate must have experience in using LiDAR data for autonomous vehicles or equivalent application Candidate must have knowledge of Deep Learning Architectures and Training Candidate must be able to program