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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization
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and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
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modeling, and high-field NMR spectroscopy. The research will focus on the structural and dynamics of characterization of peptides, peptide analogs, and related molecules, and their interactions with specific
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through peer-reviewed publications and/or preprints • Ability to work independently as well as collaboratively Preferred Qualifications • Experience using Drosophila (fruit flies) as a research model
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. Proven ability to be an excellent team player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site
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towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will
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or robotic systems Knowledge of system integration, instrument control, workflow automation, and data acquisition Experience developing and applying AI/ML methods, including predictive modeling, active
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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study programs to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. Luleå University of Technology is one of Europe’s leading
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how policymakers use research evidence. This includes evaluating dissemination and impact or research translation models, such as the Research-to-Policy Collaboration model. The Scholar would be