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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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to generate reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling
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-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease
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to generate reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 2 months ago
/machine learning methods for surface geochemical exploration # Preparation of multi-method exploration-campaigns for known deposits in Europe including the development of an adaptive strategy # Methods
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talents and passion as we work together to drive forward scientific progress. The Institute of Machine Learning in Biomedical Imaging (IML) focuses on pioneering research to harness the power of machine
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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
# Work in an interdisciplinary team to develop analytical and statistical/machine learning methods for surface geochemical exploration # Preparation of multi-method exploration-campaigns for known deposits
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) develops solutions for digital health challenges. As an emerging European hub for applied artificial intelligence (AI) and machine learning (ML), we aim at modeling large-scale, high throughput biomedical