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Field
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PhD, you will: perform large-scale potato experiments using 100 contrasting soil microbiomes; use automated high-throughput phenotyping to quantify plant growth, physiology and disease development
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and in vitro assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned
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where knowledge is created and where it is ultimately translated into technological and economic value. The project combines large-scale longitudinal data on PhD recipients with complementary sources
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neuroscience and evolutionary biology. The University of Groningen provides exceptional infrastructure, including access to the Hábrók high-performance computing cluster for large-scale data analysis, large
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Supervisor: Dr Tim Halim Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research-groups
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the landscape of novel target expression, quantify its heterogeneity, and the contribution of tissue architecture as a determinant of expression profiles. This project will involve large scale data processing and
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for the Board of the faculty of science and technology Further information Employment as a PhD student is limited to 4 years; teaching and other department duties may be added with max 20%. Placement: Luleå
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(lab and field) experiments, econometric applications to register data or survey data, as well as qualitative research methods. PhD project proposals should be based on coherent theoretical arguments and
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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Technology has a very strong position internationally, and a large and vibrant community of PhD candidates. We also have very good connections to relevant industry and research institutions, which will help