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been learned from data. For instance, why does a machine learning model predict that it is unsafe to discharge a certain patient from the intensive care? Or which characteristics make a machine learning
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to prepare and carry out behavioural and brain imaging experiments with healthy adult participants, and support their analysis. You will also support the professional handling of data archiving and ethical
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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
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(with a strong mathematical focus) with above average grades Advanced knowledge in probability; expertise in random graphs, complex networks, hyperbolic geometry or topological data analysis is a plus
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& Research (WUR) and outside our organization. Your qualities you have a MSc/PhD in analytical chemistry, organic chemistry, food chemistry or comparable specialization. Knowledge of instrumental analysis
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Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and
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, with the aim of contributing knowledge that supports both ethical and economically viable animal farming. We employ innovative technologies such as sensor technology, big data analysis, AI, and
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and political theories supporting different visions of SSI (e.g., libertarian, kantian, communitarian, republican, etc.). 2. Foresight Analysis of SSI and Emerging Data Governance Structures: - Employ
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order responses to homelessness, potentially focusing on the Netherlands yet situating the analysis within a comparative framework of the criminalisation of homelessness in other nations. The PhD
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the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a multiscale analysis of the mass distribution, as well as that of the flow field