13 parallel-processing-bioinformatics "https:" research jobs at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in Norway
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to create knowledge for a better world. You can find more information about working at NTNU and the application process here. About the Job One Researcher position, funded for six years, is available in
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assays. In vivo work Establish and monitor patient-derived xenograft (PDX) mouse models. Evaluate safety and efficacy of TCR-T cell therapies in mouse experiments. Collect and process tissues
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efficacy of TCR-T cell therapies in mouse experiments. Collect and process tissues for downstream analyses. Data & documentation Analyze flow cytometry and functional assay data. Document experiments and
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mediators using in vivo mouse models. The position has a duration of two years. The project group is part of a vibrant and inclusive research environment (https://www.ous-research.no/kt/) at the Department
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to address the fundamental processes guiding the earliest stages of mammalian embryo development. Early embryogenesis is a critical stage in which collective cell dynamics, mechanical forces, and gene
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researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in
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Science Convergence Environment that brings active matter physics, cell biology, and machine learning to address the fundamental processes guiding the earliest stages of mammalian embryo development. Early
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reflect on AI for, through, and in creative practices. MishMash researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems and educational strategies, and
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analysis and data processing using relevant statistical software. Experience with large-scale human datasets, including genomics, omics, and/or brain imaging data Experience with tools and pipelines
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programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical analysis and data processing using relevant statistical software. Experience