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for automation and robotics. Preferred Experience: Experience in a supervisory or leadership role within a research lab. Background in robotics lab setup, motion capture systems, and complex research project
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complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will
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articulation of instruments. These factors affect precision, efficiency, and the ability to perform complex procedures. Traditional laparoscopic tools often lack tactile sensing mechanisms, are rigid, and have
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a single one-on-one co-culture to complex microbiome interactions. Results from culturing and chemostat settings will be used for modeling the microbial loop. Excellent communication skills in English
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many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust AI/ML and vision systems, including efficient learning and inference of complex AI/ML
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to develop novel enabling technology on hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement
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Imaging The Department of Computational Biology focuses on developing and applying cutting-edge analytical, mathematical, and computational techniques to address complex questions in healthcare and life