154 condition-monitoring-machine-learning-"Multiple" Postdoctoral positions in Denmark
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of this postdoc position is to develop and employ multiple in-situ spectroscopic techniques, including, but not limited to, surface-enhanced IR and Raman, to investigate the reaction intermediates
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The project will be part of the new DREAM (Dermatology Research Across Multiple Disciplines) Center financed by the LEO Foundation. You will be part of building this new center which spans over Aarhus
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
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of diabetes or similar chronic conditions The candidate is expected to contribute to the planning and execution of the DiaTRUST trial (DOI: 10.1186/s13063-024-08588-7). Therefore, prior experience with clinical
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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
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funding, and deliver on multiple projects carried out in one of the most dynamic groups in food science at Aahrus University. You will have many opportunities to connect with other research partners, and
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studies that extend across multiple scales. The Pioneer Center Land-CRAFT was established in June 2022 to undertake fundamental and applied research from field to landscape scales that will address
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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Job Description Are you eager to contribute to an ambitious, high-impact project advancing sustainability through remanufacturing in a circular economy context? DTU is recruiting for multiple
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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in