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Field
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of diverse measurement methods for detecting airborne infectious disease threats. A critical aspect of your role will be ensuring robust, sensitive sensor performance with real-world samples, and effectively
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laboratory assessment of future paving materials. The successful candidate will have the chance to engage in the development of novel research methods, extend their research portfolio and contribute
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excellent signal processing and/or acoustics background; experience with developing new spatial audio methods and/or with designing/executing listening experiments. They will be hosted by the IoSR
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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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methods to evaluate the UFS ‘s ability to predict extreme events. The purpose of the project is to evaluate the biases and skill of the sub-seasonal to seasonal forecasts generated with the UFS prototypes
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power electronic converters (PECs) have been introduced to control and transform electric power - and permeate society for numerous applications: zero-emission transport, renewable energy, and
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and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations affect dynamic systems such as turbulence, water waves, and compressible
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, or a related numerical field. Programming experience in one or more of: Python, C++, Fortran, Julia. Hands-on experience building and training AI models with frameworks such as TensorFlow or PyTorch
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learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical solvers, quantum
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and other geophysical data in geothermal models Potential test of innovative complementary methods for integration in the geothermal models Contribute to selected other test cases within Equip-G