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imaging. Strong analytical skills and experience with medical imaging technologies and data analysis. The ability to work collaboratively in multidisciplinary teams and communicate effectively across
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) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling
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skills in analytical chemistry, preferably mass spectrometry. Knowledge of instrumental residue analysis of (plant) toxins is preferred; you have excellent communication skills, both oral and written; a
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terms of fieldwork, participation in consortium meetings, and to the analysis and writing of the shared output. The candidate is expected to contribute actively to the Marine Ecology Lab. Group and the
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accurate analysis and decision-making. For municipalities and provinces, a key challenge is to develop local energy roadmaps that align with regional and national scenarios while addressing specific research
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trajectories between the United Kingdom and India. The candidate will be part of the ERC-funded project ‘Retirement across countries: A tripartite analysis of the welfare state, family care networks, and the
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between the Netherlands and Turkey. The candidate will be part of the ERC-funded project ‘Retirement across countries: A tripartite analysis of the welfare state, family care networks, and the retirement
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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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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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expertise in healthcare, technology, and quantitative analysis. Using data from the TopTreat consortium, you will identify prognostic markers to support personalized treatment, and assess their health