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(Numerical Analysis and Applied Mathematics) develops numerical algorithms and software for large-scale problems in science and engineering. Its research ranges from algorithm design and analysis to software
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knowledge of qualitative social science research methodology. Ideally you are already familiar with software for qualitative data analysis (e.g. MaxQDA, Atlas.ti, NVivo) and have experience with conducting
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. Responsabilities: Investigate existing verification and validation (V&V) techniques for space systems, software and algorithms with a focus on specific challenges of space-borne perception and proximity operations
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may refer to https://www.uni.lu/snten/research-groups/sigcom/ . The successful candidate is expected to assume a leading role in advancing research and experimental work focused on software-defined
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software development. General responsibilities: Help supervising related MSc and PhD projects Contribute to project related teaching activities Collaborate with the Earthmapps research team and participate
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advanced statistical software (e.g. Stata, R) You have proven experience in advanced applications of hazard modelling, dynamic microsimulation and/or spatial analysis. You are attracted by the prospect
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element software and Python is required. • You have demonstrable experience in supervising master or PhD students, as well as in academic education. • You have the required communication skills
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datasets for single nucleotide variants, structural variants, and tandem repeats relevant to FTLD Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate
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will investigate end-to endguarantees of correctness. When successful, this will have a major impact on the way combinatorial optimization software is developed,evaluated, and used: the proofs
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practical experience with qualitative research methods, particularly discourse or content analysis. You are familiar with Qualitative Data Analysis (QDA) software like Nvivo, MaxQDA or Atlas.ti. Interest in