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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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methods for subsurface sensing and characterization. -Present research outcomes at conferences and contribute to peer-reviewed publications in geophysics and computational science. -Collaborate with team
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Analyze and assess risks of de-anonymization, including researching current de-anonymization strategies Investigate synthetic data generation methods and their utility Deploying and benchmarking the above
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productively with both the CAISA research team and external organisations and institutions experience with mixed methods Furthermore, it will be considered an advantage if applicants can document: experience
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of parallel synthesis and purification methods is required. Some experience in molecular modeling and/or protein-inhibitor visualization is a plus. The incumbent must be able to synthesize, purify, crystallize
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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methods, and contribute to high-impact publications. Responsibilities also include presenting research at national and international meetings, with ample opportunities and mentorship for career development
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experimental methods, analyse data and present results within the framework of the project;Write progress reports, participate in group meetings, publish research findings in scientific journals and present
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to the air. This project aims at developing analytical methods and capacity to sample and quantify volatile PFAS compounds and air emissions from Danish landfills and treatment plants. The project is carried
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focuses on Sonic Efficacy in Global Southern Asia. Sonic efficacy in global Southern Asia employs immersive ethnography and participant observation, sound studies and sensory anthropology methods to pursue