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, fluorescent microscopy, etc.), as well as extensive experience in quantitative proteomics (both sample preparation and data analysis) is expected. As a postdoctoral researcher, you are expected be able
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ZEISS LLSM, ZEISS Elyra, ZEISS 980 confocal, PicoQuant FLIM, PicoQuant Luminosa, and bioimage analysis of fluorescence microscopy images. You must have the ability to manage your own academic research and
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, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You will be able to demonstrate how to organise and prioritise work
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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supported-lipid bilayers and performing Total Internal Reflection Fluorescence (TIRF) microscopy, together with advanced skills in quantitative image analysis. You will have experience isolating T lymphocytes
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
biodiverse and socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how
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background in Linguistics, and be willing to work in a Linguistically oriented environment. The post holder must have experience with EEG and should be able to carry out EEG acquisition and analysis of EEG
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trapping or fluorescence microscopy to study DNA replication; • develop and employ simulations and data analysis routines to analyze your data; • develop an interdisciplinary skillset by
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are comfortable navigating complex HPC environments and wrangling large datasets. You have experience with modelling through state-of-the-art machine and deep-learning methods and with hands
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changes. In this role, you will take a lead on developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even