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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier). The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics, statistics
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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and
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, imaging, and 3D tissue model establishment will be essential to the role. Application Process If you would like to discuss this role, please contact Prof Eric O’Neill at eric.oneill@onccology.ox.ac.uk
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 16 days ago
-protein assemblies performing quantitative single-molecule or imaging experiments developing novel biophysical or biochemical assays validating emergent principles in mammalian cells or disease models
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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analytical chemistry and mass spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and
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position within a Research Infrastructure? No Offer Description The Center for Intelligent Optics (CIO) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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to oxygen levels and tumor aggressiveness. Using imaging-based measurements of pH and O₂ in mouse tumor models, we will integrate these readouts with spatially resolved single-cell transcriptomics to identify