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architectures such as vision transformer or foundation models Experience in working with subsurface imaging Proficiency in leveraging GPUs and distributed training for large-scale datasets is highly desirable
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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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voltages with high repetition rate. These sharp voltage flanks introduce different stress distributions internally in components and can induce or accelerate degradation and lead to premature breakdown
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the PhD has been awarded at the latest within 5 months after the closing date for applications. The applicant must have good programming skills, excellent knowledge of algorithms, numerical methods, and
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distribution of star-forming carbon monoxide around Cosmic Noon (targeting redshifts between z~2–3) and the Epoch of Reionization (z~6–8). Currently, the experiment is in the COMAP-Pathfinder phase, which
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a Scandinavian language). Copies of transcripts: All applicants must submit their Master’s degree diploma and transcript(s), preferably together with a class distribution of grades. The transcript
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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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provisions aiming to distribute risks between parties associated with the consequences of unclear language; - mapping different types of contracts necessitating legal regulation that would put a burden of
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Project (COMAP) line intensity mapping (LIM) experiment, aiming to map the large-scale distribution of star-forming carbon monoxide around Cosmic Noon (targeting redshifts between z~2–3) and the Epoch
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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