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Field
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responsible for conducting numerical and theoretical studies of turbulent flows and their associated geometric structures, focusing on passive and active scalar fronts, multiphase mixing layers, and
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models in the scope of the project GreenNanoBone “Sustainable 4D hydrogels functionalised with plant-based nanoparticles for bone regeneration in cancer patients” (reference Grant agreement ID: 101177877
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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, Astronomy, Geoscience, or a related discipline by the start date of the position. Experience with numerical modeling and programming Experience with modelling the climate, photochemistry, or escape
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identical conditions, using Trichloroethylene (TCE) taken as a model molecule. In addition to physical measures, a methodology based on the analysis, in solution, of TCE and its degradation by-products will
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of Biochemistry, Molecular/Cell Biology, and/or BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset
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related field is required, along with a solid understanding of Geophysical Fluid Dynamics. ABD will be considered in a related field. Preferred Qualifications: Experience in numerical ocean modeling is
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sediments and/or numerical modeling is preferred. Candidates should have a publication record in hydrogeology and/or related fields. Knowledge of traditional groundwater/surface water instrumentation
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and