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focused on basic science and translational chromatin/epigenetic cancer research are encouraged to apply. This position is ideal for a recent (or soon to be) PhD graduate who is interested in strengthening
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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous
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blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
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to Treat Mitochondrial Diseases (LAC-TreatMito-UK) was established in September 2024 to deliver a national platform to translate novel treatment strategies and biomarkers into clinical trials. This platform
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. This postdoctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological
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other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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products. Apply the knowledge to correlate results / system operation. Set-up and monitor the performance of systems Job Requirements: PhD degree in a relevant Science or Engineering field Strong analytical
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recruiting a Postdoctoral Fellow. This is a full-time research position located at the 300 acre Bethesda campus of the NIH, near Washington D.C. This position requires a PhD or MD/PhD degree in neuroscience
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection