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applicant will also bring significant experience with general software engineering, with working experience with Cloud Platforms (Google Cloud Platform, AWS, Azure), alongside a strong understanding of recent
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, or reinforcement learning Proficiency in Python and contemporary software ecosystem for optimization, dada management, and API development Experience with teaching and supervision Experience with IoT, edge computing
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combinations of vacuum-based, combinatorial deposition techniques. Characterize thin-film combinatorial libraries using automated mapping techniques, including XRD, EDX, and XPS, and optical spectroscopy
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sponsored project called BIO-MAG, we aim to create magnetic sensors with subpicotesla sensitivity and use these sensors to map neuron activity at room-temperature. As part of this large project, we
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the project team, your responsibilities will include: Developing, extending, and maintaining ontologies that describe experimental data, facility metadata, and process relationships Mapping existing data
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of the overwhelming majority of all such tools in existence today yield properties that fail to map to bonds, the entities of main interest to most of synthetic chemistry. To that end, BONDS – a new long-term project
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of complex microfluidic hydrogel networks, integration of micropumps for bubble-free aseptic perfusion, and non-contact mapping of multiple metabolites during tissue culture. You will be working on all aspects
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from high temperatures. CoaST Research in this field covers both organic and inorganic intumescent coatings and concerns replacement of problematic compounds, mapping of the underlying intumescence