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of Technology seeks a driven and committed PhD student with a focus on the infiltration dynamics in nature-based stormwater solutions, with the aim of improving process-based understanding and long-term
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to shape disease risk. Yet most clinical risk models ignore this exposome. In BEE, we will build explainable, physics-guided, GeoAI-driven models that: Predict acute and chronic NCD risks at the population
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of the two types of SAACD. This project will involve formalising and integrating the contributions of : (i) model-based and data-driven systems engineering (MBSE), (ii) embedded frugal (explainable and robust
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22 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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Electrical Power Engineering and Mechatronics. The Proposed PhD thesis topic: “ AI-Driven Battery Life Optimization for V2X-Enabled Software-Defined Vehicles ” Supervisors: Sup. Researcher Dr. Hadi Ashraf Raja
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Development of an AI-driven generative 3D modeling framework". The main
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Role: Research Associate in Numerical Modelling for AI-driven Sorbent-Based Carbon Capture Technologies Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable
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The Theory and Modeling Group at the Center for Nanoscale Materials (CNM) seeks an outstanding Assistant Scientist to lead and support frontier research at the intersection of AI/ML, data