17 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Delft University of Technology (TU Delft) in Netherlands
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understand their surroundings even in harsh weather conditions. However, current radar systems face limitations in resolution due to cost and power constraints. This PhD project explores generative models as a
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opportunities for experimental research on spin qubits and quantum simulation using gate-defined silicon or germanium quantum dot arrays. Topics of interest in the domain of spin qubits include the scaling
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with advanced, multi-scale reservoir model design to build meaningful ensembles of reservoir models for UHS. Further development and utilisation of in-house open-source codes to simulate the dynamic
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development, molecular modelling to predict physical properties and process flowsheet modelling. The experimental work will be conducted at the bio-process lab of the industrial partner. Job requirements
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Job related to staff position within a Research Infrastructure? No Offer Description Join a multidisciplinary consortium and develop state-of-the-art computational models to explore, optimize, and
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validation, with a particular focus on CO2 purification and methanol production and purification.The objective in this task is to develop a simulation tool for a cl-HPAD column in Aspen Plus and Aspen Dynamic
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instance fall back to a 2-target approach where we assume 1 target of interest and 1 interfering target that models the total interference term. For a dynamic scenario, however, we will consider a more
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to create crash test simulators for autonomous vehicles that can simulate actions in closed-loop by synthesizing novel viewpoints of the ego vehicle. Building on these breakthroughs, this PhD project at TU
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machine learning models into plant sciences with the goal to develop more resilient breeds. Given the interdisciplinarity and dynamic environment inherent to this project, this project requires that you
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impacts in metal industries. The MPRR research team specializes in the elucidation of reaction mechanisms and kinetics using experimental studies and process modelling and simulation. The team bridges