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, computational mechanics, computer science, applied mathematics or similar Strong experience with deep learning, e.g. PyTorch, JAX, TensorFlow, and probabilistic methods Familiarity with graph neural networks
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track record on one of the following research areas: Trustworthy AI AI for formal methods Formal methods for AI The successful candidate will participate in the activities of the research group led by
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on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables
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for a duration of six years. NumPEx contributes to the design and the development of numerical methods, software components and tools that support future productive European exascale and post-exascale
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for metals in materials science, such as: Processing methods, • Heat treatments, • Phase transformation studies, • Understanding mechanical properties through microstructure/property correlations, in situ
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methods; openness to mixed methods research International publications in peer-reviewed journals and / or book publications Demonstrated teaching experience Demonstrated project management skills Ability
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research methods Experience in applied social science statistics is an asset Capacity to work to with interdisciplinary collaborative teams Capacity to work with public stakeholders in the educational field
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therefore to build up a database of these kind of events (both numerically and experimentally). To experimentally investigate turbulent flows, the SPHYNX team at SPEC build over several decades and has
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, observational and model-based methods. The third component will establish new partnerships focused on ecology and fire management in several African countries where ecology and fire management are critical topics
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods