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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious
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robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
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write manuscripts and present research work at scientific conferences. Credentials and Qualifications: PhD in Biostatistics/Bioinformatics, Data Science, Computer Science, Genetics or related field
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PhD in Biological Sciences, Molecular Biology/Genetics, Microbiology, Immunology or related discipline * Research experience in molecular biology i.e. gene regulation, transcription factor binding
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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Job id: 116225. Salary: £44,355 - £51,735 per annum including London Weighting Allowance. Posted: 29 May 2025. Closing date: 05 June 2025. Business unit: Faculty of Life Sciences & Medicine
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Department: Department of Machine Learning and Data Processing – Faculty of Informatics Deadline: 14 Jul 2025 Start date: preffered September 2025 / by mutual agreement Job type: full-time Job
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12.05.2025, Wissenschaftliches Personal PostDoc and PhD positions in Quantum Simulation Theory, Positions: 2-3 years (PostDoc) & 3-4 years (PhD), Location: School of Natural Sciences (Physics
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at scale. About You Applicants should preferably have an MSc/PhD in Computer Science/Engineering. They should have expertise in distributed systems and computer networks. Excellent knowledge and practical