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, biophysical chemistry and/or enzyme technology. During the 3-year project, the PhD student will center on enzyme assisted carbon capture. We are looking for candidates with excellent qualifications within some
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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal
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Job Description Are you passionate about ontologies, data integration, or semantic technologies—and ready to apply them in a real-world engineering context? Would you like to help shape the future
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regions Contribute to the academic environment at the department Present your work at international conferences, workshops, and seminars Assist in teaching and co-supervise engineering students with
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student with a background in biological engineering, biotechnology or similar. You will work under the supervision of Assistant Professor Raphael Ferreira on large-scale genome engineering in human T cells
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assessments of data quality effects on genomic inference, and apply these methods to real datasets from extinct species. You will help shape how the field extracts meaningful biological signals from challenging
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machine learning conferences such as NeurIPS, ICLR, and ICML. Assist in machine learning teaching and supervision. Qualifications You should have the following required skills: Demonstrated experience in
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to help address the antimicrobial resistance epidemic that kills over a million people annually? Then this Novo Nordisk Foundation-funded PhD scholarship, located in one of the World’s most livable cities