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interdisciplinary meetings and workshops to foster knowledge exchange and innovation. Your work is vital to advancing less invasive treatment options, reducing patient recovery times, and optimizing healthcare
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are looking for a highly motivated and curious PhD candidate to contribute to the next generation of real-time, AI-driven decision support for multimodal construction logistics. The successful candidate will
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, and optimize the internal architectures that deliver the right mechanical response. The final designed structures will be fabricated and validated through mechanical testing, ensuring clinical and
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bottlenecks in clinical radiology workflows through observations, structured workflow mapping, and close collaboration with clinical staff. Design, develop, and evaluate AI-based and automated workflow
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integrates three innovation lines: multimodal biotype identification, combining structural MRI, functional MRI, diffusion imaging, symptom profiles and behavioral measures to define neurobiological OCD
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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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will contribute to building stronger theoretical foundations for structural optimization, to designing new algorithms for such integer programs, and to applying structured integer programs to various
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structure As part of the Industrial Doctorate: You will spend 2 days per week at Thales (Hengelo). You will work closely with: production planning teams, operations engineering, data & analytics departments
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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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perform functional readouts such as calcium imaging and electrophysiology. Where to apply Website https://www.academictransfer.com/en/jobs/356705/phd-researcher-development-of-h… Requirements Specific