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`Data Scientist' to lead the development and validation of the machine-learning models underpinning our miniaturized haematology analyser. The successful candidate will develop and fine-tune a Vision
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intelligence, machine learning, and statistical methods for time-series forecasting in the electricity sector, including demand, renewable generation, and market prices. Development and evaluation of
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Professorship (W2) in Statistical & Machine Learning in Life Sciences + Research Group Lead Employer LUDWIG MAXIMILIANS UNIVERSITAET MUENCHEN Location Munich, Bavaria, Germany Salary W2 Closing date
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
characteristics, drug efficacy, and safety profiles, and how these relationships can be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2
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, machine learning, physical AI, and spatial AI. The RA will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the
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background in mathematics, computer science, or machine learning. The work has a strong focus on developing new objectives or new architectures for medical deep learning and on new ways to measure what
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, including model-based, observer-based, and machine-learning approaches - Identifying markers of intelligent, intentional, and malicious manipulations of detection systems - Developing detection and
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Mathjobs.org | 19 days ago
families of algorithms for cryo-electron microscopy (cryo-EM) and broader applications in data science * Protein structure prediction: Combining traditional and machine learning approaches to protein
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families of algorithms for cryo-electron microscopy (cryo-EM) and broader applications in data science * Protein structure prediction: Combining traditional and machine learning approaches to protein
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CFM-Centro de Física de Materiales/MPC-Materials Physics Center | Donostia-San Sebastian, Pais Vasco | Spain | about 1 month ago
to establish a closed-loop platform that combines computational inverse design, robotic synthesis, online characterization, and machine learning-driven optimization of plasmonic nanoparticles. Join us