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Field
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selected by MedChem Australia. Your key responsibilities will be to: undertake research in lead candidate optimization publish research papers demonstrate research excellence assist with grant writing and
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 5 hours ago
. Fluid Characterization will involve Pressure-Volume-Temperature (PVT) measurements, characterizing additives such as surfactants, optimizing additives, quantifying stability and reactivity of additives
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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across
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motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed
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community. Main Tasks and responsibilities: Collaborate with theoretical and experimental partners to design and characterize optimized altermagnetic devices for information processing. Fabricate nanodevices
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating