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, climate science, atmospheric science, GIS, geography, etc. - Prior experience/knowledge of the following models, software/programming languages will be preferred: - Machine learning - Rainfall nowcasting
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epigenomic characterization of various gastrointestinal cancers (GI), including colorectal, pancreatic, gastric, esophageal, and hepatocellular cancers. Our group performs cutting-edge research in GI oncology
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in some of the following areas: civil engineering, climate science, hydrological and water resources management, GIS, geography, etc. • Prior experience/knowledge of the following models, software
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(NDDC), within the academic unit of Translational Medical Sciences, School of Medicine, University of Nottingham. The NDDC is one of the largest gastrointestinal (GI) and liver academic units in
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-liver-brain axis. You will be working within the GI and Liver theme of the NIHR Biomedical Research Centre and the Biodiscovery Institute (https://www.nottingham.ac.uk/research/research-areas/biodiscovery
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to genomic and epigenomic characterization of various gastrointestinal cancers (GI) including colorectal, pancreatic and gastric cancers, and some of the key research topics include: 1) Development
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prediction. Investigating the epigenetic basis of GI cancers, such as aberrant DNA methylation, histone modifications, and non-coding RNAs. Exploring the genetics of early-onset and familial/hereditary
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successful, you’ll have: PhD in a relevant discipline and/or other relevant qualifications and experience Expertise in spatial science, including the use of GIS Oceanographic/biophysical modelling experience
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clear advantage. Familiarity with spatial data analysis in R (GIS) is also an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 16 days ago
applications for simulating numerical models in a GIS environment: 30% (0/20); Individual interview (in the event of a tie between the best-placed candidates), where motivation and specific knowledge will be