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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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, detecting pesticides and pathogens in agricultural production. In this part of the research, the goal is to optimize local CNT growth conditions at low temperature using different catalyst materials, while
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, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Design and optimize new CAR constructs and delivery systems Conduct in vitro assays to evaluate
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. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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offers a unique opportunity to drive high-impact research in a collaborative and innovative scientific environment. Key Responsibilities: Contribute to the development and optimization of protein
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the prototyping of sensor devices and contribute to the optimization of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high
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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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routine maintenance and troubleshooting of laboratory instruments to maintain optimal performance. Supervision and Researcher Development: Provide training and technical support to students and research
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts