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to measure the transport and thermodynamic properties of correlated and topological matter in high magnetic fields. One of you (3-year position) will also help develop a magneto-transport probe using
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group leader at the Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital in Amsterdam. He is also professor in translational immunotherapy of cancer at Leiden University Medical Centre and head of
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simulating experimental and field data in collaboration with the PHOSFLUX PhD candidate. Your qualities You are a highly motivated researcher with a background in biogeochemical modelling. You have
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, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential
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the social origins of these different meanings; 3) improve alignment between (non-)governmental efforts and citizens’ perspectives by demonstrating how these meanings shape responses to information campaigns
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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system where you can tailor your employment conditions; Pension plan with Pensioenfonds Zorg en Welzijn. We contribute 65%. More about our terms of employment can be found here . More information For more
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agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is an internationally oriented university with a strong
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applying a citizen science approach. App data are noisy and to make them informative, you will work on calibrations, develop approaches to estimate population exposures levels and advanced dose estimations
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this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University external link . About us A better future for everyone