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Field
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Sedlazeck Lab is seeking a highly motivated Staff Scientist with strong computational and algorithmic expertise to lead and support cutting-edge
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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under
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, including collection and analysis of laboratory and remotely sensed hyperspectral data; geological ground-truth measurements; development and testing of novel sensor equipment; and integration with other data
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and maintenance of monitoring buoys and related sensor systems. Apply image analysis and machine learning techniques to ecological datasets. Develop and implement multi-platform monitoring frameworks
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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at UNT is seeking a postdoctoral researcher to conduct research on the development of surface acoustic wave/bulk acoustic wave sensor devices. Minimum Qualifications PhD degree in Electrical Engineering or
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or applying machine learning or automated detection methods. Experience working with passive acoustic monitoring data; familiarity with other sensor-based data (e.g., camera traps, remote sensing) is also
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mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
for biomaterials, implants and devices Advanced 3D printing and bioprinting of scaffolds and implants Intelligent (smart) implants and implantable sensors Translational, regulatory and ethical aspects in preclinical