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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | about 2 months ago
radiotherapy-relevant measurements. - Experience with statistical analysis, dose-response modeling, signal processing, internal standards/calibration, and uncertainty quantification. - Experience with
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laboratory works at the intersection of engineering, physics, computation, and clinical medicine, with opportunities to participate in device development, optical system design, image and signal analysis
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and fluorescence imaging (vibratome, cryostat, microtome, antibody staining) Engineering (CAD/3d printing, microcontrollers, signal processing) What you bring: A Ph.D. in neuroscience, bioengineering
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modifications such as site-specific phosphorylation that regulate essentially all cellular signal transduction pathways. Offline peptide fractionation and enrichment methods combined with high
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/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing and machine learning. Tasks: modeling and simulation of near-memory computing
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themes of interest, such as EO, AI, ML, and technologies in general; knowledge relevant to your research field in SAR signal processing and algorithms; the ability to think outside the box and explore
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with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and Postdoctor at Imperial College London. She received
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. ¿ Proficiency in MATLAB/Simulink and Python for modeling, signal processing, and machine learning. ¿ Working knowledge of finite element analysis and acoustic or elastic wave simulation. ¿ Skill in
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
, multimodal learning, time-series analysis, signal processing, foundation models, digital biomarkers, or agentic AI. Strong programming and data-analysis skills, particularly in Python and modern
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build-up, benchmarking, operation and maintenance. PhD degree in physical/materials sciences/engineering/computer science or related disciplines. Experience in microwave signal processing. Strong