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Field
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for future generations. Equally, we have the potential to dramatically improve the wellbeing of people across the planet. It is this combination of urgency and optimism that characterises all our work at the
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to participate in project discussions especially related to project implementation details. Familiarity with green building technology, HVAC system study and optimization, sustainable building design, building
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OpenFOAM. Validate the developed code and perform code optimization and parallelization. Mentor graduate and undergraduate students in their research Assist the lab director in grant proposals. Write journal
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losses (insertion and propagation) and to optimize the entire fabrication process. The work includes writing in silica substrates or multicomponent glasses. Additionally, the fabrication of waveguides in
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characterization, and functional properties of milk proteins and peptides. Our primary research goal is to understand their impact on human health. Our current projects involve developing and optimizing methods
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the last three years. Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization. Proven ability in programming and familiarity with network simulation
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) Purification of infection-related protein complexes from endogenous sources. Establish optimal conditions for high-yield recombinant protein expression and purification of multi-subunit complexes and application
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for research on antibiotics resistance. The main task for this position is to design, fabricate and optimize a photonic integrated circuit for optical trapping and Raman spectroscopy of biological
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management. The most important factor for a learning based method to find optimal solution is to have sufficient data. However, publicly available data is often not sufficient. Data argumentation techniques
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“Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, reference FCT 2024.07481.IACDC/2024, financed by measure RE-C05-i08. M04 – "Support the launch of an R&D project programme aimed