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Qualifications Research experience in bioreactor design and operation. Capable of doing technoeconomic analysis and life cycle analysis. Self-motivated to lead research endeavors. Good human skills to interact
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at the Dynamical Systems Section is very wide ranging. From foundational research in work on statistical forecasting, modeling of spatial and temporal processes and time series analysis to applied research in wind
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the statistical analysis of neural data We offer A stimulating, international, interdisciplinary, collaborative, and supportive work environment, which emphasizes diversity and inclusion
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the statistical analysis of neural data We offer A stimulating, international, interdisciplinary, collaborative, and supportive work environment, which emphasizes diversity and inclusion
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
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-driven methods for structural analysis under multiphysics loading”. Expected start date and duration of employment This is a 4–year position from September 1st, 2025, or as soon possible. Job description
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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will work with very large volume electron-microscopy Drosophila connectomics data as we approach the end of a £6.7M Wellcome international collaborative award with HHMI Janelia Research Campus, the MRC
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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tariff scheme (TV-L Brandenburg), salary group E 13. The full-time position for the Postdoc has a weekly working time of 40 hours (100%). It can also be filled on a part-time basis. The position will be