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payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve Competitive, interdisciplinary, and international research environment
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& administration, which means: • You are involved in a well-funded research project on the advertised research topics. • You will present your research plan to the faculty and complete a dissertation agreement
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Programming skills (e.g., Python, R, C/C++) Knowledge of workflow management systems (e.g., Snakemake) is beneficial High motivation for scientific work and willingness to contribute to an interdisciplinary
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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meteorology, physics, geosciences or related field excellent programming skills (preferably in FORTRAN or Python) interest in interdisciplinary climate and coastal research We offer you an exciting and varied
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curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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collaboration Structured PhD-training programme with a wide range of professional development opportunities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development