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/ Postdoctoral Researcher to join an 18-month NTU–industry project on AM-enabled optimisation of drag-reduction devices for maritime vessels. The successful candidate will design and prototype test articles
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hydrogen desorption driven by waste heat. The role includes the design and optimisation of thermal management systems, supporting the development of scalable and deployable hydrogen solutions. The research
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generation and advanced analytics to drive spatial systems biology research. Your tasks include but are not limited to: Organize and support technical running, optimisation and quality assurance of advanced
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stabilising structures iv. AI-enabled structural analysis, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct experimental work, including but not limited
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simulation or programming tools such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 8 days ago
integration. Your responsibilities You will be the lead scientist for small-animal MRI within the WildBrain project. Your key tasks include: Leading the acquisition, optimisation, and analysis of high‑field
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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is within the project: “Centre of Excellence in Computer Assisted Systems for Drug Dosing Control and Optimisation”. The candidate should be able to handle state of the art research in biomedical
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, or district energy systems. Experience with system optimisation and techno-economic analysis of energy systems. Proficiency in scientific computing environments such as Python, MATLAB, Julia, or Modelica