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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 26 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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cycle, will be evaluated as a proxy for photosynthetic efficiency. The objective is to validate tools that can be transferred to field applications, including the use of embedded sensors or remote 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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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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of sampling methods, management of invasive species, remote sensing, and precision agriculture. As part of a team of Extension Entomologists, this individual will develop and implement educational/outreach
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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Environmental Science (Ref: FST260108) Job Description Candidates with expertise in the following areas: atmospheric science and pollution control, sustainable technology and science, remote sensing technology
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geographic information systems, cartography, and remote sensing. Students acquire theoretical and practical knowledge, methodologies, and techniques for solving geographical problems. It encompasses scientific
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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