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Field
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data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and
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digital electronics, data acquisition systems for detectors and sensors, signal processing, and high-precision analog solutions. We are looking for an experienced Electronics Engineer to strengthen the team
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 22 days ago
Institute is seeking a motivated and qualified candidate for a fully-funded PhD scholarship. The preferred candidate should have strong programming and data science abilities, with experience in sensor
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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Duties & Responsibilities Social Media Management Stay up to date on social media trends, emerging platforms and algorithm changes and recommend timely adjustments to strategies Monitor social media
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mixed lab equipment: mechanical, electrical, magnetic, fluidic, optical, as well as electronics utilized in experiments (e.g. sensors, imaging cameras, signal generators, oscilloscopes, multimeters, power
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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algorithms and AI methods for hardware security evaluation. The roles of this position include: Study literatures on PCB security evaluation, PCB multi-modal image analysis, and datasheet parsing. Data
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machine learning algorithms for various research projects creating medical image automation algorithms writing combat casualty care relevant military research proposals preparing manuscripts for submission
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke