116 phd-biomedical-signal-processing Postdoctoral positions at University of Washington
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are looking for candidates who bring: Expertise in EEG acquisition, signal processing, and data analysis Proficiency in programming Experience in child development research, especially related to auditory
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term objectives and long-term career goals and supports trainees to lean into their strengths as well as to overcome obstacles that they or others have placed in their way. PhD (or other foreign
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required to combine diverse properties for advanced applications in consumer, biomedical, and robotic soft materials. This position is full-time (100% FTE) and will be an initial 12-month appointment with a
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have a passion for multidisciplinary research and (i) expertise in EEG acquisition, signal processing and data analysis (ii) experience coding, preferably with Python (iii
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the next generation of molecular assays and point of care collection devices. We are seeking a scientist who is self-motivated, well organized, and experienced working with biological samples. The ideal
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, instrumentation, signal processing, biomedical optics, wearables, light-tissue interaction, statistical analysis, design of optical systems, Monte Carlo modeling. Preferred Qualifications Education: No additional
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collaborative open-lab space in the Couch Biomedical Research Building. This appointment is considered a training-focused, transitional role toward an independent academic, industrial, or research career. As a
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, experimental design and setup, data acquisition and data analysis. Experience with processing and analysis of bulk RNA and single-cell sequencing data and epigenetic sequencing data. Motivated for learning new
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, we resolve conflicting design principles required to combine diverse properties for advanced applications in consumer, biomedical, and robotic soft materials. This position is full-time (100% FTE) and
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Qualifications: PhD in Environmental Engineering, Environmental Chemistry, Analytical Chemistry, Environmental Science, and/or other aligned discipline. Operation and optimization of LCMS and/or GCMS