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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely
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-based models, particularly for epidemiological applications; 2. Data science and large-scale data analysis in high performance computing environments; 3. Optimization, uncertainty quantification, and
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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optimization algorithms for both estimation and inference. Special emphasis is placed on advancing statistical approaches to address the demands of increasingly complex, high-dimensional, and unconventional data
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO₂ valorization in
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Job Description Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related field
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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member's task is strongly intertwined with the tasks of the other team members. You will develop and optimize pioneering in situ 3D ED and 5D ED experiments in a liquid environment. You will minimize
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functionalities remain limited. To address this, the EMMA project will develop sustainable and functional polyolefins by optimizing the flow behavior of post-consumer polyolefins, applying chemical modifications
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic