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Field
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modulating brain activity. Briefly, Focused Ultrasound has recently emerged as a ground-breaking new non-invasive, image-guided therapy to treat Essential Tremor (ET) and Parkinson’s Disease (PD). While it is
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://sphsc.washington.edu/vision-mission ). We have close interdisciplinary ties with related units on campus, including the Departments of Linguistics, Psychology, Music, and Otolaryngology-Head and Neck Surgery; the
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quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of quantitative imaging methods
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the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13
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and include state-of-the-art laboratories, pleasant office facilities and access to high-quality core facilities in transcriptomics, imaging, flow cytometry and proteomics. You can read more about the
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working in interdisciplinary and international teams and have image processing or image analysis skills. In addition, you are able to express yourself confidently both orally and in writing in English. What
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for benchmarking existing state-of-the-art (SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA FL algorithms that tackle data heterogeneity; namely non-iid and
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study in Parkinson’s disease. Opportunities will be provided to learn about clinical research, behavioral and neuropsychological assessments, as well as image processing in collaboration with our image
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physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams and have
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algorithms. This includes running a few pre-processing pipelines. Develop SOTA algorithms in Robustness against data and model poisoning attacks. Develop SOTA algorithms in the Explainability of Deep Federated