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questions in the solid Earth sciences. Candidates applying geochronological approaches to problems across the full breadth of hard-rock geology are welcome, including deep-time crustal evolution, tectonic
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
to accelerate technological maturity (TRL), validation, and the transfer of scientific results. Main Responsibilities: Application of advanced Machine Learning, Deep Learning, reduced-order models, and physics
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. Applications must include a CV, a cover letter, and transcripts from Master's 1 and 2. Title : Deep-learning for nuclear data in physics for health This PhD project aims to improve the modeling of nuclear
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machine learning architectures. Preferred qualifications: Prior experience or a strong interest in aging-related research and biology. Demonstrated experience applying deep learning or machine learning
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close collaboration with a deep-tech startup. You will work in an internationally recognized research environment with access to state-of-the-art cleanroom facilities and collaborate with leading academic
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
contexts Strong programming skills and deep learning frameworks Familiarity with generative models (e.g., diffusion, GANs, autoencoders) or virtual staining concepts Excellent teamwork and communication
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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
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subject The DEEPICE project aims to develop an automated workflow combining glacial geomorphology, remote sensing, DEM analysis and deep learning to detect and analyse subglacial bedforms at large scale
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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. · Knowledge in servers with GPUs, and development of Artificial Intelligence applications. · Solid understanding of Pattern Recognition, Machine Learning, and Deep Learning with applications to health issues