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Field
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contributing to work that matters. What You’ll Be Doing Collecting data in flood-affected communities through surveys, interviews, and focus groups Conducting both qualitative and quantitative analysis to assess
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develop an analytical framework to achieve the grant objectives. The post holder will model ecological niches of feeding and breeding grounds in extant whale migratory species, for which occurrence data
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responsibilities will include working within clinical researchers associated with the project, taking responsibility for completion of data analysis, and helping with the supervision of PhD students working
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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related subject. A PhD (or be close to submission) in Physics, Mathematics or a related subject. Experience Experience in conducting high quality academic research. Strong publication record in peer
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data collection approaches. Familiarity with or strong motivation to learn machine learning or advanced data analytics for pattern detection and forecasting in environmental data. Familiarity with
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for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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will involve a combination of simulation and statistical modelling. Your key responsibilities will be: Lead analysis of State response data to estimate detection, occupancy, and spread of PSHB Engage