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polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will not contribute to the increase in Anti-Microbial Resistance (AMR). The project
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Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical
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community engagement. In this role, you will: Contribute to research on ecological and spatial data for urban environments: Conducting fieldwork, data collection and analysis related to urban air quality and
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latitudes. Student profile: The project requires the student to be relatively proficient in Python programming to use and modify existing software, as well as for potentially developing new diagnostics and
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Centrum Wiskunde & Informatica (CWI) has a vacancy for a 4-year PhD position (m/f/x) on the subject of Reliable AI-powered Data Analysis in collaboration with the University of Amsterdam. Interested
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analysis. Candidates are also expected to bring their own knowledge and approaches to design and execution of the project. The candidate will work in a dynamic team of scientists and collaborate with group
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(coordination) and safety constraints can be intractable. Your work will bridge this gap by providing generalizable, provable design approach that apply across a wide range of networked systems. This 3.5-year PhD
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activities. This enhanced mapping is then used for the analysis of cloud cover patterns and precipitation changes triggered by irrigated areas. Equal opportunity is an important part of our personnel policy
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REQUIREMENTS: A Master’s degree in Biology, Biomedical Imaging, Physics, or a related discipline A strong interest in in vivo imaging, cell tracking, functional cell analysis, and data interpretation Previous
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural