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Field
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borehole electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed
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complex geometries represents a hazard. It is also relevant to compare the SoK for similar systems using different fuels, and to explore the predictive capabilities of consequence models through blind
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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making, analyzing patterns across different livelihood systems, such as hunter-gatherers, animal herders and subsistence farmers in different parts of the world. This research addresses a critical gap in
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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ethnography of meaning making, analyzing patterns across different livelihood systems, such as hunter-gatherers, animal herders and subsistence farmers in different parts of the world. This research addresses a
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power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
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the advances in battery technology, as it enables more precise monitoring, control, and optimization of battery performance throughout its lifecycle. By incorporating digital tools such as algorithms, and
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different fields and at different career stages. Willingness to be part of a team to share knowledge and skills. Enthusiasm for interdisciplinary collaboration. Strong organizational skills Positive attitude