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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 1 month ago
for defect detection and process optimization of tissue constructs (based on biomaterials and living cells), including their efficient deployment on embedded hardware, as well as the design and management
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for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models for defect detection and process optimization of tissue constructs
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Excited to shape the future of hearing aids? Ready to combine your expertise in Signal Processing, Optimization and Machine learning with Perception and Intelligibility? Job description Good hearing
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STM systems, each optimized for ESR-STM experiments. As a postdoc, you will be responsible for the daily operation of the lab. Together with the dedicated technical staff, you will ensure
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infections. As a post-doctoral researcher, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You
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motivation to independently formulate research projects and carry them through to completion; Mathematical skills and command of standard software packages for implementing of optimization algorithms, and a
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readouts; Collaborate with bioengineers and clinicians to optimize model reproducibility and relevance; Document and report findings in reports and scientific publications; Contribute to the coordination
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programme will proceed in three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including
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/). Researchers at GRIP aim to understand the molecular basis of disease, develop innovative therapeutic strategies, and optimize drug delivery to improve human health. Our teams combine expertise in nanomedicine
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molecules. Position Overview: We seek a postdoctoral researcher to develop and optimize surface functionalization strategies for optical chips, focusing on molecular recognition systems capable of operating