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The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark, Odense, invites applications for a PhD position in algorithms. The position has a duration of 3
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requires a PhD in Computer Science or closely related field. Candidates should have a strong knowledge of either Core Algorithms, Data Structures, Algorithms and complexity analysis, as well as proficiency
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computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation
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Informatics (Computational), Data Science or a closely related field. Demonstrated expertise in Python and SQL for data analysis, algorithm development, and visualization. Experience with large-scale
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Tenure-track Assistant and Associate Professorship positions in Data Science and Machine Learning...
The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU) invites applicants for one or more positions in Computer Science on Assistant Professor (tenure
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specialized algorithms supported on solid theoretical foundations and with a focus on challenging aspects of very high-dimensional datasets, such as datasets encountered in the computational biology and
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to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph Theory offers a position as
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to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, thenewly established Chair of Algorithmic and Structural Graph Theory offers a position as
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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. Structural Biology/Inference: Familiarity with HLA inference algorithms and epitope prediction models. Cloud & HPC: Experience interacting with High-Performance Computing clusters (LSF) and strong experience