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Field
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frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured
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imaging and microscopy-based analysis for drug response validation. Experience in mass spectrometry-based proteomics, transcriptomic and other omics-based workflows, including sample preparation, analysis
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Manufacturing and/or AI Robotics. Focus areas include: yield/defect causal analysis and XAI; process-variation monitoring and root-cause analysis; intelligent scheduling/dispatching for WIP/throughput (multi
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, biology, and medicine? We’re seeking a talented Scientist to join our dynamic team! Our mission is to develop novel PET imaging agents for widely metastatic cancers and to develop novel radioligand
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knowledge, tools, methods and creative processes from design, humanities, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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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