716 computer-programmer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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Computational Astrochemistry/Formation of Complex Organic Molecules in the ISM School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application Deadline
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to effectively manage conflicting priorities, plan and prioritise your workload. Essential Application/Interview Decisive, quick thinking with an adaptable approach to work. Essential Application/Interview Be
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Computational modelling of chemical interactions in soil School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline: Applications
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Statistical Analysis Plan guidance (APT-SAP)’ project (https://sheffield.ac.uk/ctru/current-trials/apt-sap ). Provide high-quality statistical advice and support to multidisciplinary research projects within
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research. Plan work effectively, including availability of resources (equipment usage), liaison with technical staff, deadlines, project milestones and overall research aims, and report to line manager(s) on
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computational modelling to explore structure/activity relationships. The project offers a unique combination of experimental and theoretical catalysis, providing a strong foundation for careers in both academia
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medicine in neuroscience and neuromuscular research and development. Moreover, you will be embedded within the vibrant, multi-disciplinary Integrative Musculoskeletal Biomechanics (IMSB, https
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, prepare and circulate the agenda and papers, prepare and circulate minutes and provide follow up on actions. Plan and organise individual and School Office team activity over short, medium and long-term
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training in molecular plant-microbe interactions, epigenomics, and computational biology. You will gain hands-on experience in plant disease phenotyping, genetic transformation, and high-throughput
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objectives and experimental programmes. Work with project managers and senior research staff to plan resources, structure datasets, analyse machining performance and part quality, report research findings