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opportunities to collaborate across Indiana University’s aging research network. Projects are clinically motivated and span mixed methods intervention development, usability testing, implementation research, and
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, machine learning, and plant genomics. Our lab seeks to explore and understand the regulatory network of plant genes, their regulation in response to environmental stress at the single-cell level, and the
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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the digital models into different simulation environments and to support the testing and training of medical robotic systems. The successful candidate should have a strong background in medical image analysis
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and the Environment) or the INFLANET European Training Network. We strive to create an environment where all individuals are valued, respected, and supported. For more info: https://lphi.umontpellier.fr
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machine learning and network biology. Background in cancer research. Pay Range: $62,232.00 - $81,000.00 To apply visit https://academicjobsonline.org/ajo/jobs/31509 and submit a cover letter, full CV, and
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who thrives in a collaborative international environment Excellent communication skills in English (written and spoken) Nice to have: Experience with cancer genomics, single-cell analysis, or long-read
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enumerators during data collection and analyse the survey data. The quantitative postdoctoral researcher will also be involved in the analysis of the survey data of the SYREALITY project. Taking on a
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analysis of sightings data for modelling species distributions. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Achievement
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
second aspect of this project is the genetic analysis of laboratory-evolved, adapted strains and identification and testing of the evolved cellular networks. This also includes construction and operation