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/Qualifications Hold a PhD in Biology, Biochemistry, or a related field; Have a strong background in molecular and cellular biology techniques; Ideally possess experience with mouse models, mammalian cell culture
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focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including collaborations with industrial
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assessment in vitro and in vivo using dedicated cellular and animal models. Long-term objectives include adaptation to GMP-compatible procedures to enable clinical translation. Position details - Three-year
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immunofluorescence techniques. Experience handling preclinical mouse models of cancer and certified training on animal experimentation and welfare corresponding to the requirements defined by the EU Directive 2010/63
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: Candidates will need to have completed their PhD by the start of employment. This Postdoctoral Research Associate position will require approximately 100% effort dedicated to research activities, with
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Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography, epidemiology, public health, or a related discipline in the social sciences
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perform experiments using cells and purified proteins. Visualize cells and interactions of purified proteins using confocal microscopy and total internal reflectance microscopy. Purify proteins and perform
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vision is targeting real, local, regional, and African challenges in the fields of agricultural in dry lands and marginal environments, animal value chain, water and energy sustainability, biorefinery and
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imaging of neuronal activity in the auditory system of behaving mice and rats. The laboratory is equipped with Mini-2p (Thorlabs) for imaging neuronal activity in behaving animals, two 2-photon mesoscopes
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work at the interface between computational spatial omics, single-cell mass spectrometry (MS)-based proteomics, multiplex imaging, and bioinformatics. We have recently co-developed Deep Visual Proteomics