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Field
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generation sequencing data-analysis and ability to code are considered an advantage You are an accurate and precise worker and possess strong analytical problem-solving skills (creative, critical, thinking out
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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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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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. 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 social impacts
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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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. This is part of your personality: Completed doctoral/PhD studies in subject chemistry, preferably in analytical chemistry or equivalent qualification, PhD in chemistry or biomedical research Profound
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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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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
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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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of PhD), or Research Associate (more than 3 years of PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural