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Research Institute at Cardiff University. The post holder will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine
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, Chemistry, Physics, Engineering, Mathematics, Computer Science, Data Science, Machine Learning or Artificial Intelligence a minimum 2:1 undergraduate degree (or equivalent) Excellent spoken and written
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globally recognised degree without leaving the country. Job Purpose The role holder’s contribution will be central to delivery and support of teaching, learning and assessment, across Business for the
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basis. For an informal discussion about the role, please contact Laima Machin, Campus Experience Team Leader on lm857@bath.ac.uk or Calum Lloyd, Residence Allocations Coordinator on cl2029@bath.ac.uk
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:18th edition of the I.E.T. Regulations up to and including all current amendments Computer literacy is desirable for operation of Building Management Systems. Also, a first aid certificate would be
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contribute to the delivery of teaching across Phase 1 of the MBBCh programme, with a particular focus on human physiology in Years 1 and 2. This will include teaching within Case-Based Learning (CBL) and Case
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PhD or equivalent in Bioinformatics, Mathematics, Statistics, Computer Sciences or a closely related discipline, plus demonstrable expertise in: Clinical data base systems Graph networks Medical data
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to employees, depending on eligibility: Generous annual leave: 25* Days Annual Leave (pro rata if part-time) plus Bank Holidays* & Closure Days* Generous pension scheme Cycle to Work & Electric Car Scheme
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computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including mechanical testing and links with industry and with our Advanced Manufacturing
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management as we embark to integrate with JTC ODP and enable center for conducting the testing certification at PDD when the sandbox is established. Knowledge of Embodied AI (SLAM, Reinforced Learning) is also