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Field
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: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Experience in ML applications. Background Investigation Statement: Prior to hiring, the final candidate(s
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of the experimental models and the test setup for Task 2, including preliminary numerical modeling of the experimental models using a Finite Element Method-based software. Task 2: Execution of shake table tests with
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); Experience in seismology or associated techniques is a plus Proven experience in data processing, numerical modelling and inversion Experience in coding (Python, Matlab, Fortran, C/C++, bash) Excellent
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-structure problems in biology. To address these, often in close collaboration with experimental collaborators, we build numerical and theoretical models from the ground up, revealing how the known mechanics
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Deadline: none (posted 2025/10/06) Position Description: Apply Position Description Flatiron Research Fellow, Biophysical Modeling, Center for Computational Biology Flatiron Institute - Simons Foundation
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advanced artificial intelligence / machine learning (AI/ML) solutions for fusion science and operations. Building and applying foundation models and surrogate models to speed analysis and optimize
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on mechanistic empirical pavement design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic
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candidates with a background in civil engineering, preferably with experience in geotechnical physical, analytical and/or numerical modelling. You will be responsible for developing a simplified computational
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Reflectance analysis. Raman spectroscopy. Porosity and permeability analysis. Relevant experience from rock deformation experimental work and/or numerical modelling is an advantage. Evidence of ability
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operations. Building and applying foundation models and surrogate models to speed analysis and optimize performance. Designing and maintaining digital twins of fusion devices, including autonomous control