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of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with
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engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
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and organizations to pursue a campaign of learning and research that make the Navy and the U.S. Armed Forces a more effective and more resilient fighting force. U.S. Top Secret clearance (or ability
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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, and registry-linked outcome data. In this project, you will develop and apply AI-based methods (e.g. machine learning methods and many other methods) to harmonize historical and current pathogen
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
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within a Research Infrastructure? No Offer Description Group Leader in Quantum Algorithms and Machine Learning (f/m/x) Ref. Number: MAB/06/2026 Location: Warsaw, Poland Salary: 20 750 - 24 250 PLN/month
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, DeepFields (using drones, airborne optical sectioning (AOS) -a unique synthetic aperture sensing technique developed by JKU-, and machine learning for harvest and damage estimation in agriculture), in
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-time instructor to teach MFT 643 (3 credits) Family Therapy with Complex Trauma during the Summer 2026 semester. Saturdays May 16, 30, June 6, 13, 20. Time: 08:30 AM - 05:00 PM. Explores the effects