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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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, 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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. 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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. Applicants seeking further information are invited to contact Associate Professor Florin Musat (florin.musat@bio.au.dk) . Who we are The successful candidate will be employed by the Department of Biology at
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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
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. Applicants seeking further information are invited to contact Associate Professor Florin Musat (florin.musat@bio.au.dk) . Who we are The successful candidate will be employed by the Department of Biology at
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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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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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of catalysts using low dose-rate and dose atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active