52 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" Fellowship positions at University of Birmingham in United Kingdom
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at 0.5fte for the final six months of the post. Across these two projects, the Research Fellow will collect objective and subjective sleep data from children with neurogenetic syndromes and develop and
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Summary A 3 year Bone Cancer Research Trist/GOSH funded Research Fellow post, starting October, is available within the lab of Prof. Clare Davies and Dr. Susanne Gatz investigating synthetic lethal
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excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data
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project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron
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holder will play a key role in supporting quantitative data analysis, including the development of statistical analysis plans, and interpretation in a cluster trial setting. There are also opportunities
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof. T. Carlomagno) Contribute to writing bids for research funding Acquire, analyse
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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-learningdisability/ ) a team of researchers showed that adults with Profound and Multiple Learning Disabilities (PMLD) and their family carers were disproportionately impacted by the COVID-19 pandemic. The post holder
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. This will include the planning of model developments, carrying out model developments, preparing and analysing observational datasets, designing experimental protocols, carrying out the related simulations