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are seeking a highly motivated Bioinformaticist with knowledge in computational image analysis and proficiency in Python. In this position, you will be supervised by our image analysis expert and will work
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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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, or glaciology. We invite applicants to highlight experience with spatial analysis tools, such as GIS, or other quantitative approaches, which could include modeling or AI. The teaching load is three courses per
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to bioinoculation. Additionally, the research fellow will contribute to data analysis and interpretation, preparation of manuscripts and technical reports, presentation of results at scientific meetings, and support
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(flow cytometry, isolation and analysis of cells from peripheral blood and barrier organs) 4. practical knowledge of bioinformatic techniques (analysis of omic data, such as scRNAseq, spatial scRNAseq) 5
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should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. About our
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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological
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, or computer science. Two years, or a combined total of 24 months, of applicable work experience in GPS (or otherwise spatially integrated) data collection, data management, data development, and/or data analysis
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topics of interest include, but are not limited to repertoire analysis, lymphocyte development and function, multi-parameter spatial analysis. Minimum requirements are an MD or equivalent degree (D.O
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, and spatial organization, crucial especially in early developmental stages but relevant throughout life. Drawing from cellular and molecular biology, it delves into embryology, morphology, genetics