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and work by employing sensor data from body-worn and/or environmental sensors. Inquiries regarding this position are welcome. [Work content and job description] The laboratory is seeking an academic
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development to support extended reality technologies, machine learning pipeline integration, integration of sensors/devices to mobile platforms, and creating novel clinical decision support applications for our
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outcomes. The Postdoc Researcher will play a key role in implementing system prototypes, managing data pipelines, and supporting the development and validation of AI models in collaboration with clinicians
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summer long Install field experiments, including plot layout, planting, moisture sensor installation, and the application of treatments (e.g. fertilization, mulching, compost application, staking) Maintain
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of scientists and researchers in an effort to research transcription factor-based sensors for waterborne toxins of interest. High-throughput cell-based and cell-free screening approaches, along with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
proposals that enhance the lab s research portfolio and attract external funding for neutrinoless double-beta decay. Mentorship and training of staff, students, and postdocs are integral and essential
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, subject to terms of the scheme) Training and development opportunities A connected community - Brookes have a wide variety of staff networks, which instil a sense of community and offer employees a space
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, policies, and programmes. It is part of the UK’s What Works Network and collaborates with colleagues from across the UK and internationally to mobilise evidence that addresses major economic, environmental
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. Recipients will also have access to up to $5,000 AUD per year in tailored academic and wellbeing support. In addition, Aurora will facilitate community and network-building opportunities for individuals and
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell