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The Department of Mathematics and Computer Science at the University of Southern Denmark, Vejle, invites applicantions for PhD positions with a focus on Software Architectures and Mining Software
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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secondments: A three months secondment at ISAS with co-supervisor R. Heyer is planned to exchange on data formats and to be trained to exploit the new version of the MetaProteomeAnalyzer Software A three months
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– set up and alignment Numerical modelling Scientific software development Geochronology You should possess strong communication and academic writing skills in English. You must have a two-year master's
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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experience with the Linux operating system is expected, because large software toolboxes are used and further developed. The working language at the institute is English. Experience with targeted and optimized
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, covering both foundations as well as various applications such as quantum computing and quantum software. Odense is a fast-growing international community with affordable housing and living costs. For more
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-level GW+C implementation in the FHI-aims software package. Currently, this approach is limited to molecules; your task will be to adapt and expand it for application to 2D framework materials
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performance engineering use cases, extensive software development experience, and knowledge of machine learning frameworks (such as transformers and torch) are pluses. MSc candidates about to complete will also
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communication skills an early career researcher with publication record, presentation skills and commitment to research integrity equipped with excellent software skills and hands-on experience with deep learning