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Field
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or process optimization; and Experience in data collection, analysis, and processing. Assets: Experience using Python or another scientific programming language (e.g., MATLAB, R, Julia); Experience with
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development and optimization. The tumor microenvironment and mechanisms of immune evasion. Development of innovative technologies to enhance anti-tumor immune responses. The role of epigenetic and RNA
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of performance, speed, and precision. Key Responsibilities: Design and implement genAI models for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks
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developmental challenges faced by children, families, and our aging population and to promote optimal development and opportunities for all. Postdoctoral fellows have the chance to participate in research
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for research on antibiotics resistance. The main task for this position is to design, fabricate and optimize a photonic integrated circuit for optical trapping and Raman spectroscopy of biological
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, advanced optimization and control of semiconductor manufacturing processes and systems. Experience in working with advanced AI/ML software packages and super-computing cluster systems, including Hadoop
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the research for the project on robot human teaming. Key Responsibilities: The Research Fellow will work on a project to conduct research for human robotic teaming, in particular: Perform optimization
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Stimulated Raman Spectroscopy (PARS) method. Research tasks will include design, development and optimization of the full PARS system including a Raman cell pumping scheme, a photoacoustic cavity, and an
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fast charging is the surface intercalation kinetics or the solid-state diffusion of lithium within the particles. Finally, the insights gained will be applied to optimize material properties, such as
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will then analyse complex patterns of data and derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium