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(Stanford University, USA). Qualifications PhD in process mineralogy, mineral processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience
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symptom trajectories and clinical outcomes (AMBIENT-BD)”, https://www.ambientbd.com/). The post holder will be a key member of the Data Analytics Research and Technology Research group (DARTH, https
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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supporting scientific networks. Candidates should have a relevant PhD degree (or nearing completion) in development studies, human geography, rural sociology, anthropology, or political science; excellent oral
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and
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Regensburg and the German Mining Museum in Bochum. The project situates Eastern Europe in the historical geography of global capitalism by identifying commodity frontiers in the region. It explores
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Civil Engineering, Materials Engineering, Mechanical Engineering or related areas who are PhD students in Civil Engineering, Materials Engineering, Mechanical Engineering or related areas who are enrolled
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, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R
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PhD or equivalent degree (e.g., ScD, MD, DVM, DrPH). Under the guidance of Dr. William Pan, the Postdoctoral Fellow will perform full-time, independent research, consistent with preparing for a future