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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
optimized design approaches. Run high-fidelity micromechanical simulations (finite element) to obtain the homogenised properties of a composite (ply-level) Use Convolutional Neural Networks (CNNs) to obtain
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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, improve, optimize, and disseminate aflatoxin biocontrol technologies to growers. The goal of the current project is to elucidate genetic and genomic traits associated with enhanced displacement
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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contrast-agent optimization Lead experimental work in small animal IBD models and contribute to large animal studies Conduct ultrasound imaging using both research-grade and clinical systems Analyze imaging
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(PGR) collections lack systematic and thorough characterization. With the recent development of an alfalfa 3K DArT SNP panel, a standardized high-throughput technology has been optimized to overcome
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with demonstrated expertise in seawater desalination pretreatment, with a particular emphasis on the Membrane-Based Processes. The successful candidate will contribute to the development, optimization
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: Holders of a Master's degree in Mechanical Engineering or related areas who are PhD students in Sustainable Product and Process Engineering. . DURATION: 12 months, eventually renewable. The fellowship is