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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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immune monitoring panels measured in large patient cohorts, we want to make an inventory of current panels and results, and develop the most optimal panels for each of the different research questions
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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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on diffusion and/or flow matching, that can rapidly adapt pre-trained models to new tasks and select optimally informative simulations at each stage in a design process. Collaborate closely with PhD students
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research on topics including, but not limited to: Continual learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models
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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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(quantity is less important); Experience in mathematical modeling of cognition or behavior (e.g. optimality, drift-diffusion); Advanced computational and/or programming skills (Matlab, Python, C++, R
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learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models (LLMs). Developing methods to improve the safety and robustness