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systems will be enhanced using Design of Experiment (DoE) approaches in order to efficiently explore the high-dimensional parameter space of the electrolysis processes. DoE is essential for data-efficient
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carlo), as well as experience in developing and/or applying advanced AI/ML methods to accelerate materials discovery. The project will involve integrating such theory-informed AI-models for creating
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at least one of the following: a PhD degree related to circular design innovation in the circular economy, preferably in the area of apparel/textiles; or equivalent experience in a different sector; or a
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' experiences and needs, leading to academic findings and an open-sourced, co-designed software for qualitative research. The postdoc will lead research activities across the project's three goals and publish in
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failure modes, comparing alternative designs, and using those results to determine the next experimental iteration. Extensive computational genomics experience is not required, but the ability and
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, synthesis and biological testing/target profiling of small molecule inhibitors and chemical probes. The post holder will be responsible for designing and conducting experiments, analysing data, communicating
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that coordinates the stations, and the connection to the campaign logic that plans experiments and consumes their results. The postdoc will work closely with the engineers designing ARM's automated arc melting
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the delivery of services and programs that meet professional and market-driven expectations. Work Experience: Experience or training in cancer biology and/or immunology. Experience analyzing and interpreting
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responsibility for your own research Provide mentorship on chemical synthesis and characterization Research in close collaboration with other lab members and international collaborators Experiment design and
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field Background in programming languages, formal methods, or networking Research experience in one or more of: language design and semantics, automata theory and decision procedures, interactive