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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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sustainably for production of fuels, electricity, heat and biomaterial. The department and involved researchers have extensive experience in doctoral education and supervision. More information about the
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application! This recruitment is linked to the Impact Innovation program Swedish Metals and Minerals – an initiative of Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program
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position: Experience of modelling energy systems, particularly at the national level. Experience of optimisation modelling and/or other mathematical models. Experience in scenario analysis, related
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knowledge of building materials and be fluent in English. The following work or research experience will be an advantage: experience with cementitious materials, XRD with Rietveld analysis, SEM, TG, DSC
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opportunity to gain experience in teaching and supervision. You will become a member of the Network of Young Scientists (NYS) within CH2ESS, which organizes workshops, field excursions, interdisciplinary
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funding for fieldwork and conferences, and room to develop your own research profile. Read more about being an employee at Lund University: https://www.lu.se/en/about-university/work-us Work duties and
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. Requirements: -A master’s degree (or equivalent) in electrical engineering, electronics, materials science, nanotechnology, microelectronics, engineering physics or a related field -Experience of experimental
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and constantly changing planet. To understand how this planet works, our researchers seek answers in the field, through laboratory experiments and advanced models. Our research and education cover a
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: Hold a PhD in History or Economic History. Have experience of working with both quantitative and qualitative research methods. Have published research relevant to the GLOW research project. Demonstrate