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. Motivated, self-driven, and curious. Willing to learn many different techniques and analytical skills. Excellent communication skills and interpersonal skills. (highly desired but not necessary) Experience
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of supervisors that covers both academic pursuits. Primary tools are the programming language Python to exploit its advanced deep learning toolboxes (e.g., Keras, TensorFlow, and PyTorch), alongside
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Information Systems (GIS), programming in Python, practical forestry, nature conservation, cultural heritage management, as well as a driver’s license, are considered assets. Place of work: Umeå Forms
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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
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, satellite altimetry, ice flow maps and terminus positions and other relevant data to constrain numerical model to simulate 1900-present and future (present-2100) ice flow changes under different UN IPCC
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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production and environmental considerations and facilitate driving on forest land in extremely dry or wet conditions. We will develop different tools. First, we will model soil moisture in the upper soil layer
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responses and recovery patterns • Endocannabinoid measurements in blood, hair, and cerebrospinal fluid • Interactions between the endocannabinoid system, cortisol, and opioids • Sex differences in
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effects. This approach will then be deployed to simulate the behaviour of bubbles over a range of flow conditions and heat transfer surfaces with different characteristics. This data set will finally be
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional