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This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields: computer science, information science, industrial ecology, operational research, environmental
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of Modelling of Biomass Combustion Systems. As a Research Associate, you will be working with the team engaged in the prestigious Horizon Europe project “Enzymatic CO2 Capture in a Rotating Packed Bed and
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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-world medical applications? Do you want to design next-generation protein therapeutics using cutting-edge generative models and validate them in the lab? Join a collaborative postdoc project at DTU
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
synthesis, structural and spectroscopic analysis, and computational modeling of framework stability and transformations. The position requires a high degree of expertise in synthetic inorganic or materials
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application of advanced deep learning models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting
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computational processes, improving prediction accuracy, and enabling the creation of extensive model ensembles at a reduced cost. In this context, we are looking for a highly motivated postdoctoral researcher
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Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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apportionment analysis using statistical and computational techniques (e.g., receptor models, chemical transport models) to identify and quantify the contributions of various emission sources to air pollution