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Field
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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lifetimes of spins on surfaces. This approach combines electronic states obtained via a periodic quantum embedding (i.e., equation-of-motion coupled-cluster in periodic DFT, pbcEOM-CC) with a coarse-grained
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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The Leiden Institute of Advanced Computer Science (LIACS) at Leiden University is seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a
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-lab.com/ for further details of our group. Our group is part of the Institute of Photonics and Quantum Science (IPaQS), which is one of the UK's largest research clusters in Photonics. IPaQS has a strong
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. You will extract and interpret fully detailed phenotypic fingerprints at whole-well and single‑cell resolution in virus-infected cell cultures. AI models will be used to cluster compounds and infer
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medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with
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, baseline health outcomes.) Conduct multi-pollutant comparative risk assessments, including multi-pollutant exposureresponse functions and cluster-based approaches coordinating closely with the epidemiology
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sequencing, bulk RNA-seq, and single-nucleus RNA/ATAC using R, python, command line interface and high-performance computing clusters Thorough documentation and communication of experiments and findings with
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the McGill BioPortal. Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments (e.g., DNAnexus, Terra, AWS/GCP). Write first-author