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for Spatial Biology Description: The Lu Lab at Stanford University is seeking a postdoctoral fellow with deep expertise in advanced AI and generative modeling to develop computational frameworks that transform
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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should focus on one or several of the following or related research areas: High-Throughput Sequencing Algorithms and Applications, Computational RNA Biology and Regulatory Genomics, Analysis and Modeling
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independent and collaborative research on the application of synthetic control methods to spatial causal inference problems in agricultural and environmental economics. - Develop and refine econometric models
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undertaking a specified range of activities within the Wellcome-funded research project (“Transforming spatial and structural biology: Native ambient mass spectrometry”; 305669/Z/23/Z). We seek to recruit a
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participatory research methodologies that address social and spatial inequalities. Candidates will be expected to work proactively across disciplinary boundaries, coordinating research activities and contributing
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for (including our assessment rubric); details of financial support, training, and placement opportunities available; and details of our recruitment process, can be found at https://accedtp.ac.uk/, in
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the quality of life. Please visit our website to find further information about our values and Orion as an employer https://www.orion.fi/en/careers/orion-as-an-employer/. Our expectations Essential competences
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development with a cellular resolution and at the genome scale. Specifically, efforts using systematic CRISPR/Cas9-mediated mutagenesis, high-content imaging, data science and computational modelling are used
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers