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Field
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collaborative and proactive Post Doctoral Research Associate to join a multi-national ERC Synergy Programme, EndoTheranostics, aiming to revolutionise Colorectal Cancer Treatment. The post-holder will work in the
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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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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
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. While very attractive, these models can be pretty challenging when attempting to compute the water budget over broader regions, mainly in ungauged catchments. Being developed for specific contexts
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models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science