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Two positions as Associate Senior Lecturer/Assistant Professor in Computational Science (PA2026/927)
Science as well as a doctoral subject in Computational Science. The Faculty of Science research school COMPUTE offers courses and activities for PhD students in computational science. In addition, Lund
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23
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required and the ability to process and handle tissue specimens for microscopy. Additionally, assistance to the PI (MD) and a research scientist (Phd) in protocol-writing, grant-writing, and manuscript
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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, test and measurement methodologies for electronic modules, system engineering, data pre-processing and database indexing/analytics for dashboarding/visualisation, embedding machine learning algorithms
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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, multilevel analysis). Knowledge in developing predictive and forecasting models in health or environmental research. Skills in machine learning or AI techniques for prediction of complex outcomes. Experience
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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: Experience in microwave measurements Experience in Artificial Intelligence and Machine Learning methods for microwave circuit design Experience in digital signal processing What you will do Take courses
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model