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experience: Essential criteria 1. PhD in computer science, AI or related area 2. Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data
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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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Texas A&M University, Institute for Quantum Science and Engineering Position ID: TAMU -IQSE -POSTDOC3 [#29960] Position Title: Position Location: College Station, Texas 77843
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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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peer-reviewed publications and strong commitment to scientific research. Recipients of recent PhD or MD degree are strongly encouraged to apply. Applicants with experience in molecular biology, cell
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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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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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At least one published paper as first, or last, or senior author Good knowledge of brain biology, Neuroscience or neuroanatomy Excellent attention to detail and ability to maintain high standards when
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candidate must have a PhD degree (or nearing completion) with focus on organic chemistry and polymer synthesis. Experience in designing setups for organic synthesis including setups for flow chemistry is
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(Dr Daniel Wilson, Dr Maxie Roessler). Applicants should have a PhD in synthetic chemistry, ideally with extensive experience in handling air- and moisture-sensitive materials using Schlenk line and