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Field
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research cruise or fieldwork expeditions. Experience analyzing acoustic backscatter data. Experience collecting and analyzing zooplankton net samples. Experience with moored instruments. Experience in data
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, with the goal of demonstrating a path towards fault-tolereant quantum advantage in simulating complex material systems. The position will involve a combination of algorithmic design, numerical
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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collaboration and design-based research. Interest in the hydrogen sector and energy transition. Ability to analyse complex challenges and translate them into actionable insights. Excellent analytical
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future
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concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy
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project partners. Extend an in-house seakeeping solver based on a time-domain boundary element method and couple it with the interior-flow solvers. Investigate complex physics associated with the coupled