9 parallel-computing-numerical-methods positions at Plymouth University in United Kingdom
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Are you looking to apply your AI, machine learning, and computer vision expertise in a real-world setting to drive innovation in marine environmental monitoring? The Role: A unique and exciting
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completed pilot testing, and you will lead the analysis, write-up, and dissemination of the findings. This role requires a researcher confident in applying mixed-methods approaches to analyse a diverse range
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interdisciplinary project brings together experts in liver biology, microbiology, toxicology, and environmental science to develop reproducible methods and generate clinically relevant insights to inform global
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of realist methodology and methods, researcher-in-residence and ethnographic methodologies of inquiry For an informal discussion to find out more about the role please contact Becky Hardwick via email at
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yourself and others; are motivated to learn; have some knowledge of qualitative, quantitative or mixed methods analyses. This is a full-time position working 37 hours per week and is fixed-term for a period
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and academics in the Professionalism strand of the curriculum across Years 1-5 of the programme The post is based in Plymouth but occasional travel to sites in Torbay and Taunton may be required. Please
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: Generous annual leave: 35* Days Annual Leave plus Bank Holidays* & Closure Days* Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities Enhanced
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writing, a basic level of computer knowledge would be advantageous. You will have an awareness of manual handling skills and a reasonable degree of physical fitness, as you will be required to move, lift
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leave: 25 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities Enhanced family leave