197 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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epidemiological data to quantify heat-health benefits. As our PhD candidate, you will bridge the gap between high-resolution microscale climate/hydrometeorological simulation and empirical public health outcomes
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submitting your extended CV before August 31, 2026. More information can be obtained from the website (www.sanquin.org/research/research-vacancies ) or by sending an email to Dr. Matti Pronker (m.pronker
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molecular information with multi-omics data, digital pathology and artificial intelligence, your work will generate new insights into pharmacodynamics, efficacy biomarkers and toxicity mechanisms that cannot
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optimal ways to schematize and parameterize the subsurface at local to regional scales to assess dike safety using geological and geohydrological data and models, for characteristic fluvial landscapes in
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engineers, and data scientists within a state-of-the-art MCS lab and high-volume tertiary referral center. Cardiogenic shock and advanced heart failure remain among the most urgent challenges in
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to high-impact scientific research while developing technologies with strong industrial relevance. Information and application Are you interested in being part of our team? Please send your application by
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well as data availability. This could include research focused within or across countries, as well as across different levels and dimensions of cooperation. We expect such a project to require engagement with
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so-called part I and II of a clinical trial simultaneously. One of the open issues is whether an integrated review reduces the number of requests for information (RFIs) and also leads to more adequate
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development. Your findings will be integrated with clinical and in vivo data generated by consortium partners, providing a unique opportunity to contribute to translational research that bridges fundamental
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identification, and to demonstrate their effectiveness on real data. For this, we will study the model class of linear non-Hüsler–Reiss acyclic models and their generalization that includes latent variables. Our