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-driven Modelling Transportation Planning and Network Design
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                The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Nov-25 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Engineering Internal Number: 308705
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                Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 5 hours ago
Model-driven strain design and metabolic engineering Bioprocess and biosystems engineering We offer Fixed-term employment contract in the public sector (German TVöD E13) Working in a creative and
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analytics, behavioural modelling, and design-driven approaches to better understand and plan for resilient, inclusive, and climate-neutral cities. Within the CORESpaces project, you will work closely with
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Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical skills Knowledge of programming, either
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of materials and processes. By developing and applying data-driven models, The MI team develops strategies for the efficient exploration of complex chemical and phenomena across scales.The research integrates
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to the proposed area of research. You should have experience in finite element modelling and data-driven multiphysics approaches. Fluency in Python, Fortran, MATLAB and/or C/C++ and prior work with common finite
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Forecasting Agent-based Modelling and Simulation Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical
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                University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
, or similar platforms for thermal and fluid dynamics simulations. Strong programming skills in MATLAB, Python, R, or similar. Machine learning or data-driven modeling experience applied to environmental control
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refining dynamic models representing the adaptive responses of marine ecosystems (2) Conducting hindcast experiments using numerical models to evaluate climate-driven changes in marine ecosystems and