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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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applicants: an excellent Master degree in Computer Science or related discipline strong programming skills the ability to do independent research a good background and interest in human-computer interaction
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information by encoding many noisy physical qubits into fewer, far more reliable logical ones. Without effective QEC, adding qubits does not add computing power, because errors accumulate faster than machines
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
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to understand how complex biological functions emerge from interactions between individual cells. Where to apply Website https://www.academictransfer.com/en/jobs/362789/phd-learning-interactions-in-co
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approaches. Calibration and validation of computational models using experimental data. Development of predictive methodologies for tool lifetime assessment and failure prediction. Application of machine
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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
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Engineering » Computer engineering Engineering » Maritime engineering Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 16 Aug 2026 - 23:59 (UTC) Country
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engineeringEducation LevelBachelor Degree or equivalent Research FieldMathematicsEducation LevelBachelor Degree or equivalent Research FieldPhysicsEducation LevelBachelor Degree or equivalent Research FieldComputer
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en