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-funded research project studying the molecular control of kidney epithelial cell regeneration. The project requires complementary approaches including genetic mouse models, snRNA-seq, CUT&RUN/Tag, kidney
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. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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and progression, using a combination of mouse models, patient-derived samples, and high-throughput technologies, including next-generation sequencing, flow cytometry, and immunohistochemistry
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Campus in Viken. The Department of Mechanical, Electrical and Chemical Engineering at the Faculty of Technology, Art and Design (TKD) has a vacant PhD Fellowship position in Wind Turbine Aerodynamics
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their current wording, and by other applicable national and community legislation. Procedure Reference: IT137- 26-170 I - Legal admission requirements I.I - Grant Recipients: Master’s in Biology, Pharmaceutical
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which would need to be agreed by your current line manager. Background As part of the £40 million LifeArc investment to transform rare disease research, a number of high-value projects and programmes
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, or equivalent tools for environmental data-analysis Familiarity with computational flow dynamics modelling Familiarity with environmental risk assessment and communication Interest in building expertise to bridge
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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while
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biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS, or equivalent tools for environmental data-analysis Familiarity with computational flow dynamics modelling