659 algorithm-development-"Prof"-"Prof"-"Prof" Fellowship positions in United Kingdom
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Field
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
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binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
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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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In this project we seek a motivated individual, with extensive mass spectrometry experience, who wants to develop a new instrument and apply it to the study of MDa. protein assemblies. You will be
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recruitment agency will be considered a gift. Enquiries about the vacancy, shortlisting and interviews: Name: Dr Helen Brooks Email: helen.brooks@manchester.ac.uk or Name: Prof Penny Bee Email: penny.bee
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developing and devising machine learning algorithms in an energy context Ability to assess research resource requirements, and use resources effectively, to plan and manage research activity Strong analytical
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HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including
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considered a gift. Enquiries about the vacancy, shortlisting and interviews: Name: Dr Helen Brooks Email: helen.brooks@manchester.ac.uk or Name: Prof Penny Bee Email: penny.bee@manchester.ac.uk General
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include but are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources