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the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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experimental research in quantum topoelectronics. We aim to develop novel quantum devices, including qubits, by harnessing electronic correlations and topology in two-dimensional materials. We offer a friendly
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focus on AI, academic writing, and human-computer interaction. This includes the study of writing conventions within scholarly communities and how these shape the work produced. Job description The
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publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University
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University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 2 months ago
: [email protected] Webpage: https://scholar.google.com/citations?user=QT3_z5IAAAAJ&hl=en&oi=ao Åsa Arrhenius, Head of Department tel. +46 31 786 26 25 Email: [email protected] If you have any
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a focus on AI, academic writing, and human-computer interaction. This includes the study of writing conventions within scholarly communities and how these shape the work produced. Job description The
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applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute