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, computer science, or a closely related field Applicants holding a master’s or doctoral degree are preferred Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
or a related discipline, with an emphasis in numerical computation intermediate to advanced skills in large data analysis and manipulation, including programming in different languages including Matlab
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program), whereas postdoc position is typically for two years. The selected candidate will get the opportunity to work in a highly stimulating and collaborative international research environment and access
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Type of Contract: Full-time, Funding limited for 36 months A talented and creative Research Fellow is sought to work within the School of Natural and Computing Sciences with Dr. Mark Law on
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independently within a supportive group setting. Ensure compliance with environment, safety, health and quality program requirements Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning
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to express complex ideas clearly and scientifically. Excellent written and oral communication skills in English. You also have: A PhD degree in electrical engineering, sensor technology, control engineering
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and Computational Quantum Chemistry Group at the University of Melbourne as a Research Fellow. You'll play a pivotal role in an industry-funded project aimed at establishing a workflow for high
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at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . WE OFFER The position will be filled for a period of 4 years (2 + 2). The starting date is in October 2025 or as
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput