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of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine
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interdisciplinary collaboration with researchers, institutions, and stakeholders Candidate Profile Required Qualifications PhD in Remote Sensing, Geospatial Sciences, Environmental Science, Climate Science, Data
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for a confirmed professor (M/F), with at least 5 years research experience after a PhD in materials, electrochemistry, and Corrosion Science. He/she is keen on multidisciplinary work at the interface
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collaborations with industry partners, research institutions, and organizations to enhance the impact of research Candidate Criteria PhD degree in Chemistry, with a specialization in inorganic chemistry or a
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systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded
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Criteria of the candidate: PhD degree in Biotechnology, Chemical Engineering, Bioenergy, Environmental Engineering, or related discipline from a recognized University. Strong expertise in lipid extraction
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Q1 publication. Selection Criteria The position is open to candidates holding a PhD degree in Geology, Earth Sciences, Geochemistry, Sedimentology, Mining/Georesources Engineering, or a closely related
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possible. Support if required, the development of proposals for research funding. PROFILE : PhD in materials science, chemistry, or related field. Solid background in phosphate chemistry, fertilizer
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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. Engage in external collaborations with industry partners, research institutions, and organizations to enhance the impact of research Candidate Criteria PhD degree in Chemistry, with a specialization in