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on the development of the SPHEREx Legacy Galaxy Clusters Catalog. The successful candidate will lead analyses to characterize galaxy populations in clusters using SPHEREx data in combination with complementary wide
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for operations, and the provision of operations to non-traditional missions. The Team currently supports missions such as Cluster (disposal phase), SpaceRider, M-Matisse, the L4 mission to Enceladus, Theseus
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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will have the opportunity to work on topics such as cluster algebras, amplituhedra, Landau analysis, Feynman integrals, and related aspects of algebraic combinatorics and geometry in fundamental physics
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Engineering (PHELIQS, https://www.pheliqs.fr/en ), a joint research unit of the French Commission for Atomic Energies and Alternative Energies (CEA), Université Grenoble Alpes and Grenoble INP, is currently
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Classification Title: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field. Classification Minimum Requirements: PhD in Bioinformatics
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Appointment Term: 1-2 years Appointment Start Date: January 2026 Group or Departmental Website: https://greiciuslab.stanford.edu/ (link is external) How to Submit Application Materials: Please email application
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Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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and influence inflammatory diseases. As part of the ImmunoPreCept Cluster of Excellence at Charité Berlin, you'll develop cutting-edge metagenomic and metaproteomic approaches using unique resources