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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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analysis, UV-Vis and fluorescence spectroscopy, nitrogen adsorption–desorption isotherms at 77 K, thermogravimetry (TGA), perfilometry and electrical measurements, also including knowledge in data
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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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spaces using PET analysis Conducting literature review, writing scientific publications, and presenting research results Mentoring student courses in radiochemistry and reactive transport Your profile
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., flanges, elbows, nozzles) under natural hazard-induced loading. Design and supervise experimental tests (axial and bending) to study Loss of Containment (LOC) conditions. Derive analytical/numerical leakage
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). Maintenance of transgenic mouse colony and embryonic fetal analysis 3). Train students and post-docs in hematopoietic research techniques 4). Prepare figures. Make charts, tables, and graphs from numeric and
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to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
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: The doctoral candidate will perform computational analysis of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer's disease or Parkinson's disease. The candidate will use state
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research