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of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes and drug–excipient
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Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing Assistance in Complex Acoustic
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motivation to work with complex systems and large datasets. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree
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understanding in complex acoustic environments, moving beyond traditional audibility-based solutions toward systems that enhance intelligibility, meaning extraction, and user-specific listening intent. Your work
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turbine measurements to expected variability across large real-world turbine populations). Your competencies We are looking for a candidate who is driven by complex, interdisciplinary challenges and has a
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computational modeling of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes
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July to October 2026. HADAL is a Center of Excellence that explores life and element cycling in the deepest oceanic realm. The Center was founded in 2020, engages about 35 students, technicians and
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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. Furthermore, the PhD candidate will engineer complex genotypes and perform adaptive laboratory evolution experiments. The candidate will work in an international team and is expected to contribute creatively
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virtual screening, generative machine learning (ML) models, and automated reaction exploration to gain insights into complex chemical systems. This is an opportunity to work at the forefront