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and experience: Qualifications PhD in Computer Science, AI, Machine Learning or related field Experience A strong research track record relative to opportunity, including the ability to produce and
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PhD in Computer Science, AI, Machine Learning or related field Experience Strong track record of publications in top-tier venues (e.g. CORE A*) Expertise in reinforcement learning, AI agents, and LLM
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allow the lectures and assessments will be synced with Boston campus. Minimum Qualifications PhD in Mechanical Engineering with Thermo-Science concentration. Clear understanding of the undergraduate fluid
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the EOC website to learn more We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://www.auemployment.com/postings/26900 . Contact: Dr. Xiaolong Li
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doctoral training, interdisciplinary research, career development, and high quality research. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293904/phd-candidate-in
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in field conditions. The samples can now be processed and analysed. We are looking for a motivated intern to work on the processing of root samples. The intern will learn and use root analysis methods
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collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be expected to lead the research into innovative ways in which the machine
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of the collaborating Post Doc, we aim to unlock innovations allowing for cell capacities up to 4 kWh and discharge durations of up to 100 hours. Where to apply Website https://www.academictransfer.com/en/jobs/359565/phd
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Infrastructure? No Offer Description The selected candidate will participate in the following functions: Teach undergraduate courses in different areas within the field of International Relations, fully delivered
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their