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Responsibilities: To perform pioneer research in scent digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different
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. Perform high-throughput computation for accelerating materials discovery and generate datasets for materials informatics. Work with teams to refine the developed methods and workflows. Job Requirements: PhD
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Programme administration teams i.e. overseeing backend operations including students’ internship placements, curriculum planning etc. Develop purpose-driven, high-performance and cohesive teams. Provide
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applications for the process industries with particular emphasis on delivering step change improvements in process performance; Informatics for process and product development with a background in big data
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energy system modelling is a plus; Industrial or collaborative project experience in cloud/edge systems, high-performance computing, or energy-efficient networks is desirable; Fluent spoken and written
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) cluster has an open position to hire a tenure-track Assistant Professor with a strong record of scholarly research in high performance computing applied to many-body quantum systems such as condensed matter
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Application Deadline 1 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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in training programme of laboratory personnel for working in the ABSL3 laboratories. Ensure all personnel working in high containment facilities meet minimum training criteria as established by
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applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in
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of Design and Engineering (CDE)’s research interests. • Build sustainable, high-impact relationships with industry leaders, ensuring alignment with CDE’s goals and initiatives. Strategy Execution and