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Professor research work will include the following topics and tasks: Develop algorithms and theory for inversion of data collected by RIMFAX and other CENSSS instruments. Contribute to modelling, inversion
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algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and neuroscience. The candidate is
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using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and
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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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includes 25% career enhancing work, such as teaching, curation of collections and research support. Employment is scheduled to start no earlier than February 1, 2026. More about the position / Project
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teaching, curation of collections and research support. Employment is scheduled to start no earlier than February 1, 2026. More about the position / Project description The postdoctoral fellow will be a part
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applicants who have yet to receive their PhD degree, the Doctoral dissertation must have been submitted for evaluation, or completed and scheduled for submission and evaluation, before the application deadline