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Field
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microscopy) multi-omics (RNAseq, proteomics, metabolomics, coding) biomaterials and tissue engineering background induced pluripotent stem cell-derived cardiomyocyte (iPSC-CM) culture engineered heart tissue
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are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during breast cancer surgery. The instrument will allow surgeons
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role will be to use and develop opto-acoustic
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English communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value
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for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
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(https://www.univ-orleans.fr/fr/prisme - Images, Robotics, Automation and Signal (IRAuS) department), the LIFAT research team (https://lifat.univ-tours.fr/ - Laboratory of Fundamental and Applied
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-ionising radiation to produce diagnostic quality images of the human body, facilitating the diagnosis and treatment of patients (Allied Health Professions Act 2011). Dietetics: Dietetics involves
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Editing of 2D and panoramic images and 3D processing Ensure the processing of photographed objects, in accordance with the defined technical specifications 4. Applicable Legislation and Regulations: Law No
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of ALS, is essential. Candidates should demonstrate proficiency in advanced molecular biology techniques and be adept at analyzing high-throughput datasets such as RNA sequencing and imaging data