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are expected to develop independent research programs that attract external funding; teach courses at the graduate and undergraduate level; mentor students and postdocs in their area of research; and participate
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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https
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models Ideally experience with machine learning methods for identifying governing equations from experimental observations (e.g., https://github.com/dynamicslab/pysindy ) Strong communication skills
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§ Experience in the collection and processing of TEM/STEM data § Computer programming for custom data processing § Strong oral and written communication skills. Application Instructions Please upload
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collaboratively with graduate students, postdocs, and the PI to support ongoing research projects. Follow IACUC protocols and institutional safety guidelines. · Attends weekly lab meetings, departmental seminars
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implementing computational schemes for ODE and / or PDE based models Ideally experience with machine learning methods for identifying governing equations from experimental observations (e.g., https://github.com
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of extensive datasets. You will be supervised researchers who collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked
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FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Proven track record of publications in computer graphics, generative models, or deep learning for 3D objects; Proficient programming
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Researcher (R2) Positions Postdoc Positions Country Ireland Application Deadline 20 Jan 2026 - 23:45 (Europe/Dublin) Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through
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, applying it to data analysis, econometric modelling, machine learning solutions, and the automation of research and data processing; Practical experience in the IT industry, developing, deploying, and