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Posting Summary Logo Posting Number RTF00150PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
” models in the context of the Human Cell Atlas and the European Lab for Learning & Intelligent Systems , powered by large-scale single-cell, spatial, and CRISPR perturbation profiling; Tissue immunology
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
. Experience in machine learning algorithms and tools. Experience in microscopy and image analysis. Effective collaboration in interdisciplinary teams. Strong analytical reasoning and persistence in experimental
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facilities for photonic device design, fabrication, and characterization. Responsibilities: Electrical and optical modeling, design tap-out, and fabrication of high-speed SiPh components Set up experiments and
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) Cleaning and managing large datasets from administrative data sources or online learning platforms Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) Learning
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: Experience with microbiome, genomics or tree-valued data. For applicants to the Microbial Bioinformatics track: Familiarity with machine learning methods. Experience with anvi'o databases. For all applicants
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Posting Summary Logo Posting Number RTF00139PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
programming (MATLAB, C++, Python, R, etc.) • Experience with MR physics and/or pulse sequence programming (Siemens or Bruker platforms) is preferred but not required • Experience with machine learning
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State University and work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches-including machine learning (ML), hydrologic