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: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or
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Details Title Postdoctoral Fellow in Atmospheric Chemistry Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Environmental Science and Engineering
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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, FDM, and/or FVM will serve you well as you develop advanced numerical methodologies and software frameworks for the simulation of fluid-structure interactions of magnetoactive polymers, contributing
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of mathematical models and simulation of industrial Heat Exchanger to be used and deployed within the GEOFLEXHEAT project. This project, coordinated by Brunel, will support all the cross activities occurring during
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a Horizon Europe funded research project which launched in March 2025 and is coordinated by Utrecht University. It brings together 24 partners from a wide-range of disciplines in future climate model
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applying Natural Language Processing (NLP) algorithms. Knowledge or prior experience in Virtual Reality technologies. Work Plan: The grant aims to develop Agricultural Simulations using Virtual Reality as a
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), one method of SCI, poses on the Earth system. Specifically, the postdoctoral scholar will analyze climate model simulations to quantify the impacts and risks of SAI on climate extremes such as droughts
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. Planned Tasks: (1) Develop LES/RANS numerical simulation models for the hydrogen mixing and injection prototype; (2) Validate the numerical models through experimental analysis at the PRF facilities in
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with simulation techniques, energy efficiency models, large-scale energy consumption data, machine learning techniques and interpretation (unsupervised); - Education, experience and research orientation