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potential. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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http://www.ub.edu/caiac/solBeca?idConvocatoria=50433 Requirements Research FieldPharmacological sciencesEducation LevelPhD or equivalent Skills/Qualifications Degree in Pharmacy. PhD in pharmaceutical
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of suitable catalysts and the optimization of operating conditions. This project aims to investigate the catalytic conversion of phenolic monomers via the catalytic hydrogen transfer process in both gas and
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of electrochemical reactions carried out under strong, controlled magnetic fields. Part of the work will involve establishing an in-situ characterisation method, supplemented by research into optimal experimental
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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27 Feb 2026 Job Information Organisation/Company Universidade Católica Portuguesa - Porto Research Field Biological sciences » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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variants as functional and assess their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in
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the range of optimal physical parameters associated with flow/viscosity pairs of the algal solution in order to achieve good uniformity of residence times. The BioACE project aims to develop a new type of
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret