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: Design and train vision–text transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components
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languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in optimization, image-guided radiotherapy, medical imaging, or computational modeling. Experience with treatment
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environment. Details about the project: https://www.ncn.gov.pl/sites/default/files/listy-rankingowe/2024-09-16-titokb02cwd/streszczenia/637514-pl.pdf Leader dr Marcin Tabaka Microbes inhabit almost every part
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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, convolutional architectures and surrogate modelling for physical systems Solid understanding of PDE-based models or the motivation to acquire this knowledge Experience with real-time or edge deployment (CUDA
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spectroscopy with plasmonic enhancement and solid-state nanopores to achieve label-free, flow-through detection and molecular identification at the single-molecule level. ESSENTIAL REQUIREMENTS A PhD in
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ecosystems are a central element in how humans are addressing their own survival. Lakes, rivers, wetlands, seas, oceans and melting ice caps are central elements of the ongoing ecological crisis linked
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-molecule TIRF microscopy, biochemical reconstitution, and fluorescent labeling, we will observe individual RNA molecules and degradosome complexes in action, capturing millisecond-scale dynamics that shape
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immunofluorescence labeling techniques. Experience with cell culture, molecular biology, or live cell imaging. Familiarity with major imaging software platforms, including FIJI/ImageJ, Imaris, LAS X, ZEN, OMERO
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that you will apply include endogenous protein tagging by CRISPR and integrases, in-cell interaction proteomics by proximity labeling, subcellular localization by spatial proteomics and fluorescence