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applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims to develop novel enabling technology on hydrodynamic stability analysis that has applications in
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. Demonstrated experience with data analysis generated by NGS, proteomics, single-cell omics and spatial genomics. Strong proficiency in Python, R, and Linux command-line environments. Familiarity with databases
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across spatial scales. The project will bring together empirical data analysis, experiments, and development of ecological theory to provide a holistic view of pollinator systems under human disturbance
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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, including reflection and photoluminescence. • Design and implement optical setups for spatially resolved and time-resolved measurements of ferroelectric behavior. • Collaborate with theorists and materials
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• Application Deadline: Evaluation of applications starts January 15th, 2026 until filled Recent advances in high-throughput technologies for single-cell analysis, including single-cell transcriptomics, spatial
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trained to perform behaviors, histological studies of the brain, and quantitative analysis of the data. The primary responsibility will be conducting optical recordings in mice during behaviors
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found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Are you interested in a PhD working on the biological impacts of climate change, based in world-leading research
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conduct studies using multiplex immunofluorescence, spatial transcriptional profiling, and other cutting edge, high-dimension tissue analysis approaches to evaluate pancreatic cancer pathology using human
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), spatial transcriptomics and high-throughput imaging, thus a keen interest in learning single cell/spatial data analysis is critical. WHAT WE ARE LOOKING FOR You hold a PhD in Biology, (Bio)medical Sciences