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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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(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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innovative microfluidic technologies. Responsibilities: Designing and conducting experiments to study microbial communities using microfluidic platforms. Developing and optimizing microfluidic devices for high
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, Licensure/Other Credentials Preferred Qualifications PhD in Physics, Materials Science, or related field by the start date of employment. Knowledge/Skills/Abilities Demonstrated expertise in materials
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that significantly reduce computation cost, memory footprint, and power consumption. Design and optimize efficient training and inference pipelines for foundation models (LLM, VLM, VLA) across different model sizes
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protocol 2. Reception, organization and storage of human blood samples obtained from the project. 3. Optimizing the derivatization methods for polyol pathway metabolites. 4. Preparation of isotopic standards
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potential progression once in post to £87,974 Grade: 9 Full Time, Fixed Term contract up to March 2027 Closing date: 23rd March 2026 Background To create and disseminate knowledge through initiating, leading
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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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toward quickly identifying a safe and effective combination of drugs for the patient. Success in such a project would require a working knowledge of concepts from biology, common experimentation workflows
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings