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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
should be sent electronically via the link "apply online" and the Faculty expects applicants to read the information "How to apply " before applying. The application must include: A letter stating your
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employment is 2 years. The preferred starting date is 1 November 2026 (or according to mutual agreement). The position is full time. You can read more about career paths at DTU here . Further information
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Job Description Are you passionate about data science and X-ray experiments? If so, this position might be perfect for you. We are seeking a data scientist to advance our analysis of complex data
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced methods to handle
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Nordisk Foundation, aiming to establish a potential causal link between the gut microbiome and cardiometabolic diseases (CMD). The research project will focus on identifying and characterizing novel
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. Key activities include analysis of clinical and patient-reported outcome data, coordination of implementation studies in collaboration with ENT clinics, dissemination of results through peer-reviewed
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system as a whole, and (f) experimental validation. The role of the AM2PM Postdoc position is theoretical and experimental research that links construction site data collection with life cycle and