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industrial Ph.D. position focused on developing scalable, Machine Learning (ML) pipelines for genomic and epigenomic biomarker discovery from Oxford Nanopore Technologies (ONT) long-read sequencing data
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. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials. This approach will provide guidelines to steer the formation process of zeolites by tuning
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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape. The Department of Electronics-ICT in the Faculty of Applied Engineering is
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or Nextflow A willingness to learn and apply machine learning approaches Offer A doctoral scholarship for a period of 1 year to start, with the possibility of renewal for a further three-year period after
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the digitisation process. You will work closely with the project’s Research Software Engineer and provide material for the digital edition of Woolf’s library according to the project’s schedule. You are prepared
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material
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20 Sep 2025 Job Information Organisation/Company University of Antwerp Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Researcher Profile
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the digitisation process. You will work closely with the project’s Research Software Engineer and provide material for the digital edition of Woolf’s library according to the project’s schedule. You are prepared
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material