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external events Research at MOBILE is primarily interdisciplinary. Therefore, familiarity with or interest in law, political science, sociology, data science, or related fields is an advantage. Work
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-of-the-art methodology in endogenous protein editing and tagging by CRISPR and integrase strategies. Training in state-of-the-art technologies and data analysis as well as research management, oral and written
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on modelling the effects of small insertion and deletions. The candidate will also help with data management tasks for the database of variants effect that we are maintaining at DTU. We are looking for a
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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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, the projects combine classical microbiology, microbial physiology, experimental evolution, and omics-based approaches to link microbial interactions and system performance across spatial and functional scales
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project is funded by the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based
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and to link outputs from meteorological macroscale models to microscale load effects on buildings and structures. The model will be used to simulate a wide range of weather conditions – from severe
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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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start to finish. 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
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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