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approaches. The research will also design a European-scale turbidity and sediment monitoring framework combining in situ observations and satellite remote sensing. Where to apply Website https://jobs.unibas.ch
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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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of language. Required qualifications PhD (or confirmed defense date) in neurolinguistics, cognitive neuroscience,psychology, or a related field Experience with fMRI acquisition and/or analysis Demonstrated
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 29 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate in Quantum Enhanced Microscopy (f/m/x) 102886
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related to staff position within a Research Infrastructure? No Offer Description Research areas: aerial robotics, advanced sensing and multi-source remote sensing, drones In the University of Burgos we
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: Less than Annual Appointment (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of Arkansas Grantham As an employer, the University of Arkansas Grantham offers a remote work
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prototype optical sensor for the rapid, early detection of undesirable taints or off-flavours in whisky, based on recent research in the Clark Nanophotonic Devices Research Group and Peveler Bio-Nano Sensing
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Grant project “GUANTUM: Probing the limits of quantum mechanics and gravity with micromechanical oscillators” . Project 2: Remote connection and strong coupling in coherent electromechanics We utilize
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assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in