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and maintenance of monitoring buoys and related sensor systems. Apply image analysis and machine learning techniques to ecological datasets. Develop and implement multi-platform monitoring frameworks
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to interact and collaborate to develop robust ways to decode single molecule imaging data. Your profile The candidate should hold a PhD in biophysics, chemistry, nanoscience or related subjects and have a
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reactivity of gene-engineered T cells Qualifications Candidates most have a PhD in the area of Immunology and Cell Biology. In addition, candidates should be trained in: T cell detection technologies, using
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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should hold a PhD in Electrical or Electronic Engineering (completed within the last 5 years) with strong experience in CMOS IC design. The ideal candidate has: Strong background in analog and/or mixed
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research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed with the aim of benefiting
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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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innovation and the skills to turn ambitious ideas into reality. Essential Qualifications: A recently awarded PhD in Plasma Physics, Photonics, Applied Physics, Electrical Engineering, or a closely related