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systems and APIs for battery telemetry ingestion and analytics, Frontend dashboards for real-time monitoring, diagnostics, and fleet intelligence, Database architecture supporting large-scale time-series
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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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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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demonstrate: • A doctoral qualification in immunology or a closely related discipline • A developing track record of research publications • Strong analytical, problem solving and experimental design skills
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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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-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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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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strong commitment to continuous learning and professional development. Strong technical writing and presentation skills. Excellent analytical and critical thinking abilities. High level of initiative