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-validation by droplet digital and real-time PCR. Contribute to the host–microbiome analyses (GWAS/mGWAS, metagenomics) and the integrative modeling led by the graduate student. Apply machine-learning and AI
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facilities and access to microscopes etc. The BioMS group is world-renown for mass spectrometry-based proteomics and structural biology, and applies these technologies to study amongst others cancer, auto
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in the area of probabilistic methods in machine learning. These include applications of Random Matrix theory and Gaussian processes to Deep Neural Nets. Teaching may be required. Education and
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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 24 hours ago
, seismic, and completion data. Integrate machine-learning and data-driven techniques for reservoir proxy modeling. Additionally, you will have the opportunity to: Collaborate with cross-disciplinary teams
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cooperation good knowledge of German or willingness to acquire good German language skills good knowledge of English The position offers opportunities for further academic qualification. For appointment as an
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logical way and parametric simulation engines. Familiarity of machine learning / AI techniques and custom LLMs generation is beneficial. Knowledge of life cycle assessment (LCA) and LCA methods, carbon
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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to present their work and learn from others. Fellows are also encouraged to engage with colleagues and attend departmental seminars. Applicants must demonstrate outstanding scholarly achievement and promise
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Karttunen, and Prof. Kari Laasonen, who will supervise the postdoc positions advertised here. We are seeking candidates with expertise in one or more of these areas: Machine-learning interatomic potentials