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Field
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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concretely your work package contains: We invite applications for a fully-funded postdoctoral researcher within the newly-awarded imec.icon project “Learning by Explaining Multimodal Medical AI (LEMMA)”. Why
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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POSTDOCTORAL SCHOLAR Requisition # 4458 Position Basics Advertising Ends on:Thursday, August 21st, 2025 Advertising Started on:Thursday, August 7th, 2025 College:College of Engineering Department:UI
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/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and
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-energy molecules such as water, carbon oxides or N2 into fuels, chemicals and materials provides a promising alternative to the worldwide energy and environmental challenges. The postdoctoral researcher
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. Strong programming skills Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow Preferred Qualifications: Expertise in vision transformer or large language model Expertise in High
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, concentration and functional inequalities • Mathematical aspects of machine learning and deep neural networks • Free Probability aspects of Quantum Information Theory. While excellent candidates with other
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with