92 python-"DIFFER"-"NTNU---Norwegian-University-of-Science-and-Technology" Fellowship positions
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individually, make a real difference. The role This post is part of a five-year project “SignGPT” which will build tools to allow spoken language to be automatically translated into photo-realistic sign language
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable Monitoring of Greenhouse Gas Emissions with Robots” funded by the UKRI Natural
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, with a focus on biodiversity conservation. You’ll contribute to high-impact publications and collaborate across disciplines to deliver research that makes a real-world difference. In addition a
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this aim and to collectively, & individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable Monitoring of Greenhouse Gas Emissions
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas: image processing, machine learning, and patient records. Track
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with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
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of classification algorithms Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes Identify and harmonise MRI and MRS acquisition