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for use in health science. The goal of this PhD project is to expand on these computational methods and their formal foundations and to create efficient algorithms and implementations of them. We
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, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. Chemistry, Material Science
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printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of automation in life science environments. Research tasks and qualifications The main purpose of this PhD position is
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when high-quality DNA or close reference genomes are unavailable. As part of a Novo Nordisk Foundation-funded project, you will design and implement computational pipelines, conduct comparative
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microbiological safety for high-impact societal and scientific outcomes. Responsibilities and qualifications Currently, food safety processes rely on conventional microbiological methods including culturing method
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proposed starting time is Autumn 2025, with room for flexibility. The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science . The Department
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passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering
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Job Description Are you driven by the potential of AI in medicine? Are you excited by the translational impact of bioengineering research and its potential to bridge fundamental science with real
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, and Computational Social Science. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your primary responsibilities are: Become familiar
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, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and