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WPI-AIMEC established by Tohoku University and JAMSTEC | JP Nagar III Phase, Karnataka | India | about 2 months ago
approach combining observations, experiments, and modeling. Working closely with the University of Hawai'i WPI-AIMEC's international satellite institute, the cluster will focus on large-scale oceanic
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interiors. This work will rely on large-scale atomistic simulations paired with machine-learning interatomic potentials. Duties: ● The postdoc will generate density functional theory reference data, use
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atmospheric models on clusters and supercomputers. Experience with code parallelization, MPI (Message Passing Interface), and performance optimization for large-scale simulations using models such as WRF-Chem
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biological questions. Opportunities to Contribute Conduct research in the area of statistical modeling for single-cell multi-omic data. Perform clustering, differential expression analysis, predictive modeling
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1 Sep 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 11 Sep 2026
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interactions, with a particular focus on biosynthetic gene clusters and other functional genes involved in chemical communication, defence, and adaptation. You will analyse large-scale ancient metagenomic
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. · Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters. · Managing and analyzing multiple large-scale datasets, including UK Biobank (UKBB
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, world models or simulation-based inference is meriting, as is experience with large-scale training on GPU clusters, open-source software development and applications in the life sciences. Teaching
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large
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University of California, Los Angeles | Los Angeles, California | United States | about 24 hours ago
), analysis of single-cell RNA-seq data (including quality control, normalization, dimensionality reduction, clustering, cell-type annotation, differential expression, pathway analysis, and comparison