144 postdoc-in-postdoc-in-automation-and-control Fellowship positions in United Kingdom
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”. Membership of the Pension Scheme is available. The post is based in The Gambia at LSHTM. Applications should be made online via our jobs website. The automated system will accept online applications until 10
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simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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: Applications should be made on-line via our jobs website. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be
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of publications in computational biology or related fields appropriate to career stage. Experience with pangenomic analysis tools and methodologies. Experience with version control systems (Git) and reproducible
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opportunity to work in at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes
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of sewer network and overflows to support effective management, and develop strategies to control pollutions at sources. The post will include delivering research outputs in the form of weekly reports
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: Applications should be made on-line by clicking the 'Apply' button, above. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application
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of publications in computational biology or related fields appropriate to career stage. Experience with pangenomic analysis tools and methodologies. Experience with version control systems (Git) and reproducible
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reasonably be expected from similar bridges. They will also work with a population of laboratory scale bridges in a controlled laboratory environment to examine the feasibility of applying transfer learning