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Computer Science or information Systems (or related fields), high level research skills, as well as a demonstrated ability to work independently. It is a bonus if the fellow has an interest or some
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models for prediction and recommendation Job Requirements: Preferably PhD in Computer Science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as
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, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains. Excellent communication, organisational and collaborative working skills. Ability to work effectively within
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. Ability to work independently as well as within a team. Good organisational and time management skills, including ability to prioritise workload and work to deadlines. Desirable Criteria Scripting skills
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equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones
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£37,494 Grade: 7 Full time, fixed term contract up to August 2027 Closing date: 17th August 2026 Background The primary purpose of this role is to undertake independent research and innovation in power
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The ECE Department at NUS is seeking a Senior Research Fellow to support advanced research and provide technical leadership in Backside Power Delivery Networks (BS-PDN) and advanced semiconductor
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structural health monitoring and simulation. Good written and oral communication skills Proficiency in ABAQUS, and lab test skill Ability to work independently and develop solutions under strict timelines We
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medical imaging or genomic datasets is an asset. Excellent communication skills and a demonstrated ability to work effectively in interdisciplinary teams. Ability to adapt and navigate complex health
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calorimetry, experimental evolution studies, phylogenetically informed statistical analysis of comparative data compiled from the literature and/or collected using experimental studies, and the ability