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Field
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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-EDU – Building knowledge on integrating technologies in learning in higher education in Portugal” (UIDEF-TRANSITIONS/2025/Know-i-EDU), within the scope of the R&D Unit UIDEF – Research and Development
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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energy storage system or electrochemical system (Batteries) Encourage initiating activities on battery development, devising, and analytic process Experience in machine learning will be preferred
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, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
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/ Materials Science/physics encourage initiating activities on battery development, devising, and analytic process experience on machine learning will be preferred Good oral and written communication skills
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, alignment, evaluation). Design multi-MLLM collaboration methods (knowledge transfer/distillation, federated learning). Build efficient training/benchmark pipelines and report results with clear metrics. Apply
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this. Lets change the world. Responsibilities: Develop novel and biopharmaceutical industry leading peptide, protein, antibody and multispecific antibody MS and MS/MS analytical techniques, automation sample
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data, log-trace data from learning platforms, and panel data. Relevant areas of expertise include longitudinal data analysis, psychometrics, learning analytics, and machine learning. We are particularly
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sustained, specialized effort that cannot be met by short-term or fractional support. Development of reproducible analytical pipelines and computational methods that can be shared with, adapted by, and