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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 3 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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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
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or spatial transcriptomics, or digital pathology) Strong programming (Python / R) and analytical skills, with proficiency in bioinformatics tools, statistics and machine learning. Experience with SQL
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sequencing, large-scale genomic, transcriptomic, proteomic, metabolomic, and phenotypic data) using cutting-edge technologies, such as machine learning You will perform transcriptomic and epigenetic analysis
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Universität Freiburg, Historisches Seminar | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
military strategy; on how the wars were prepared, experienced and remembered; and on how peace was made. BLOCKADE sets out to prove that these blockades are crucial to understanding not only the way
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existing quantitative methods in international nuclear safeguards with state-of-the-art artificial intelligence/machine learning (AI/ML) algorithms Contribute to standardising methodologies for calculating
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-cell or spatial transcriptomics, or digital pathology) Strong programming (Python / R) and analytical skills, with proficiency in bioinformatics tools, statistics and machine learning. Experience with