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Field
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning, epidemiology
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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communication skills are also essential. As a formal qualification, you must hold a PhD degree (or equivalent). The period of employment is 2 years, starting from 1 October 2025 or according to mutual agreement
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for this position. Skills: Not Applicable Driver's License: A driver's license is not required for this position. More About This Job Preferred Qualifications: Recent PhD in a relevant field (Genetics, Genomics
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the emergence of edge computing, data storage will become more geo-distributed to account for performance or regulatory constraints. One challenge is to maintain an up-to-date view of available content in such a
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across the clade, and reconstruct geographic distributions of key nodes and fossil taxa. About you You will hold or be close to completion of a relevant PhD/DPhil, together with relevant experience. You
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The applicant is required to have a PhD degree in Software Engineering with a focus on Model-Driven Engineering and AI. The applicant must have completed the degree no more than three years before the end
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at scale. About You Applicants should preferably have an MSc/PhD in Computer Science/Engineering. They should have expertise in distributed systems and computer networks. Excellent knowledge and practical