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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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biology techniques including qPCR, cloning, western blotting, and CRISPR or shRNA-based gene knockdown • Experience with RNA-seq or other transcriptomic analyses • Experience in confocal imaging
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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regenerative medicine in the lab of Dr. Kai Mesa at Princeton University. The Mesa Lab has pioneered innovative intravital multiphoton imaging techniques, paired with advanced mouse genetic tools, to observe and
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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to analyze large-scale clinica datasets, including electronic health records (EHR), medical imaging, and unstructured clinical text. The candidate is required to have a Ph.D. in biomedical informatics
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phase-change heat transfer, micro/nano fabrication (photo or e-beam lithography), and optical imaging. The primary responsibility is to study liquid film dynamics during phase-change processes such as
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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in accordance with the applicants’ interests and expertise, but will broadly be related to the neural mechanisms underlying the cognitive control of movement and non-motor processes (such as language
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into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected