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Field
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ICFO is offering a post-doctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment
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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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should have: Demonstrated experience with computational fluid dynamics (CFD) is required. Experience with computer aided design (CAD) tools would be an asset. Experience with programming and scripting
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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emphasis on hydrocarbon reservoir systems. We are especially interested in candidates with research interests in geomechanics, tectonics, sedimentary basin dynamics, and hydrocarbon reservoir systems
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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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Towson University - Fisher College of Science and Mathematics | Suburb Maryland Fac, Maryland | United States | 2 months ago
, Maryland 21252, United States of America [map ] Subject Area: Computational Fluid Dynaimcs Appl Deadline: none (posted 2025/02/27) Position Description: Apply Position Description Postdoctoral Lecturer
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approaches and research themes here: www.scilifelab.se/researchers/lisandro-milocco/ This project leverages the rise of data-driven dynamic modeling—from fluid dynamics to ecosystem studies—to uncover
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on the analysis of different characteristics of the skin and body fluids, such as sweat and blood. Many of these methods are challenged with quality (accuracy/precision of measurement), power consumption, usability