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of viral populations across oral samples. The successful candidate will have previous experience implementing and optimizing viral metagenomic analysis pipelines and working with commonly used command-line
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engineer to significantly redesign it and build the next generation of the OpenML platform. Key publication: What you will do Goals and core tasks: Optimize accessibility for all experience levels via
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into value-added products Design, build, and optimize plasma reactors and related experimental systems. Conduct thermodynamic and kinetic analyses of plasma-driven chemical processes. Perform chemical and
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waste management pathways. The research will support process optimization and scale-up by assessing different feedstocks, operating conditions, and valorization routes for syngas and recovered materials
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of the hamstrings during push-off can enhance gait after stroke. This position builds on those findings: you will adapt an existing FES shorts system for stroke rehabilitation, test and optimize it with patients
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into value-added products Design, build, and optimize plasma reactors and related experimental systems. Conduct thermodynamic and kinetic analyses of plasma-driven chemical processes. Perform chemical and
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PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: PhD in any engineering discipline. Strong proficiency in coding, including coding in python
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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system for stroke rehabilitation, test and optimize it with patients, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You
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to work on the design of novel nucleic acid delivery technologies for ex vivo/in vivo CAR-T cell engineering. The postdoc will assist in the development, optimization, characterization and (ex vivo/in vivo