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multiple families), SynComs from the MICROP culture collection, and advanced phenotyping from the Netherlands Plant Eco-phenotyping Centre (NPEC). You will conduct large-scale SynCom experiments, perform
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validation of assays, development, and reporting of automated assays with appropriate throughput for the projects are important. Raw data is reported to web-based databases. You will actively participate in
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PhD candidate in the automated detection of measurable residual disease in hematological malignancie
computational pipeline for objective, accurate and automated detection of MRD in multiple hematological malignancies (acute lymphoblastic leukemia (ALL), multiple myeloma (MM) and acute myeloid leukemia (AML
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understanding of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics
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The University of Alabama, Department of Electrical and Computer Engineering | United States | 3 months ago
The Department of Electrical and Computer Engineering has multiple opportunities for students to embark on a fully funded Ph.D. journey within a research-intensive institution. Our students work
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reporting and scientific publications, informed by and serving the needs of multiple project use cases for human augmentation, empowerment, and symbiosis between humans and AI/automation technologies. You
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): Automated bidding strategies for participating in multiple markets (hydrogen, electricity) over different time scales, such as short-term forward markets and spot markets (operating in real-time). This can be
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our funded program to train the next generation graduates in trusted automation for industrial Internet of Things through a close partnership between industry and academia. Being at the intersection
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of the results obtained from (semi-)automated AI based pseudonymization of texts. The research will also be contextualized in two industry relevant use case scenarios. Role and responsibilities This is a PhD
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, OntoGPT, LangChain, etc) for automated data recoding. - Prompt and agentic workflow engineering: devise and implement best practices for improving language model performance in data extraction and ontology