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structured, well-documented way that supports benchmarking, reproducibility, and reuse by others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
Chemistry at the Institute of Materials Chemistry, TU Wien. The group develops and applies electronic-structure theory, machine-learning methods and predictive calculations of defects and transport properties
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, machine-learning methods and predictive calculations of defects and transport properties. The position will also be integrated into the wider CENSEMAT research environment at Aarhus University, allowing
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, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply advanced analytical approaches, including deep learning and machine learning, to
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which you will be automatically redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Are you interested in using machine learning to
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project, you will design and implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
synthesis, robotics, digital twins, and machine learning, CAPeX is redefining how new P2X materials are discovered and developed. Commitment to Diversity We value diversity and encourage applications from
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, the project may include network analysis, geospatial analysis, scenario modelling, uncertainty analysis, machine learning and other AI-supported approaches. The candidate will build on selected
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immersive virtual/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. The main aim of this work package is to investigate how such
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will combine computational method development with experimental spatial metabolomics including signal preprocessing, machine learning, spatial statistics, image registration and interactive software