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Field
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connections to projects in which the CCA is involved (if relevant) Expertise in technical elements of computational astrophysics research, which may include but are not limited to: algorithm and software
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38,5 h/week) The position is offered as a fixed-term appointment until 30 September 2032, corresponding to the duration of the professorship
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues
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, mathematical physics, or related disciplines) Related Skills & Other Requirements ▪ Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm
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to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge in the field of Quantum Computing Knowledge of Python Good
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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theory, and is expected to have experience with the practical implementation of control algorithms. Who we are Learning and Decision at AAU, founded in 2020, focuses on developing mathematical methods