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https://www.academictransfer.com/en/jobs/356112/postdoc-specialist-validation-o… Requirements Specific Requirements This is not a standard role, and we are looking for a unique individual who thrives
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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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, registers and other clinical studies Knowledge and practical application of various statistical packages, such as R and Python Ability to adapt and/or develop statistical and machine learning methodology
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experiments, and machine learning (ML) to understand and predict multiscale transport phenomena in fuel cell systems. In particular, the postdoc will bridge pore-scale simulations and macroscale performance
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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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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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experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus
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science. You will be part of a dynamic research group with expertise in Earth Observation, geoinformatics, and machine learning, offering an excellent environment for advancing your research and building
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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. Technical skills: Proficient in using E-views and Stata for econometric modeling. Advanced expertise in business intelligence, data analysis, data science, and machine learning tools. Capable of developing