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and conducting experiments using both in vitro and in vivo models of neurodevelopmental and neurodegenerative/inflammatory diseases. Experience in neuroscience, neuroimmunology, and bioinformatics is
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PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in a constant-volume combustion chamber (CVCC
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for establishing properties of quantum programs - Reduction methods and metrics for quantum systems - Decision diagrams for efficient analysis and simulation of distributed quantum programs - Statistical model
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, computationally efficient gas radiation models suitable for CFD implementation Perform accurate CFD simulations of green fuel combustion in a CVCC and validate the CFD by detailed experimental data to be provided
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models and reinforcement learning models for 3D graphs of materials to explore vast inorganic chemical spaces and design synthesizable energy materials. You will couple such models with physics simulation
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Assessment (LCA) and Bioprocess Modeling (Conceptual process simulations). Familiarity with sustainability databases (e.g., ecoinvent, CarbonMinds ) and process simulation tools (e.g., Aspen Plus, SuperPro
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. Experience with modelling and simulation tools such as MATLAB/Simulink, Python, or similar is essential, along with good programming skills and the ability to work with complex systems. Strong analytical
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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exchange with top research environments worldwide. The positions are funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending
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Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). Your work tasks As a PhD student, you will conduct