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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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conservation practices": PhD student (f,m,div) in the Field of Geodata, Nitrogen and Soil Parameter Modelling Reference number: 18/2025/4 The salary will be based on qualification and research experience
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quote the advertised reference number ‘SCI25-SK2’ in your application. To avoid delays in processing your application, please ensure that you submit the minimum supporting documents . The following
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. As part of the SPP, the SoilEnergySpots project is jointly led by Prof. Dr. Nicole Strittmatter (Analytical Chemistry), Prof. Dr. Mirjana Minceva (Biothermodynamics), and Dr. Steffen Schweizer (Soil
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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. Understanding of or curiosity about machine learning, AI, or cloud computing tools used in agricultural analytics. Interest or experience in working with industry, government, or multidisciplinary research teams
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authorship of a peer-reviewed publication, assessed at a La Trobe Masters by research standard of 75 or above. have outstanding grounding in one or more relevant disciplines including physics, chemistry
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Jul-25 Location: Washington, D.C. Type: Full-time Categories: Academic/Faculty Medical - Clinical Internal Number
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analytical techniques. Strong interpersonal and teamwork skills are required to support collaboration both within DTU National Food Institute and with external partners. Flexibility and self-motivation