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Field
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explore and pinpoint new sources of Pst resistance within these Watkins landraces. The student will work in partnership between JIC and KWS UK to: (i) map novel Pst resistance within the Watkins landrace
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medicine approaches. The successful candidate will lead analyses spanning genomic and clinical data integration, including: Performing QTL mapping (eQTL, sQTL, and caQTL) across single-cell and bulk data
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responsibilities: participation in excavations and surface surveys at high-mountain cave sites; mapping of stone raw materials in the studied region of the western Tien Shan and Pamir-Alai; creation of a reference
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position for a doctoral candidate/MSCA fellow for the project “Mapping the effects of menopausal hormone therapy on the female brain and health outcomes later in life”. The PhD position is part of the EU
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this project, high-resolution spectroscopic imaging will be employed to map chemical changes and structural degradation in the PE material, while correlating these findings with biological responses observed in
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year, Bund E13 payscale). Regular working hours (40 per week) and 30 days of paid time off per year. Many PhD students visit major companies, e.g., Google, Microsoft, and IBM, for research internships
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significant natural graphite resources and an EU-designated strategic CRM project. The work will combine field mapping, structural geology and geochronology with petrography, bulk rock and mineral
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/confidential data. - Designing secure and efficient data provision pathways (e.g., APIs, remote access solutions). - Supporting researchers in data access and use, ensuring compliance with legal and
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in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of
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computational approaches to study social dynamics that shape behaviour. Using survey and registry data, the project will map social networks and develop agent-based models linking household preferences