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, intelligent transportation systems, transportation data analytics, AI/machine learning, Web-based transportation systems, or database development; Strong programming skills in Python, C++, MATLAB, Java
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 25 days ago
physics or related field Knowledge in particle/astroparticle physics, cosmology, and physics beyond the standard model Experience with modern programming languages (C/Fortran/Python) Full proficiency in
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degree in hydrology, environmental sciences, climate sciences, or a closely related field. We seek candidates with strong skills in programming (e.g. R or Python), statistics, risk assessments, and data
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• Experimental data analysis (forces, fields, imaging) — good level • Scientific programming (Python/C++ or equivalent) — good level Technical know-how: • Coupling physical models with experimental data — expected
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, significant coding experience (both Python and C/C++ or P4), and a record of working in a Linux environment and related scripting languages. How to apply Applications for this vacancy are to be made online via
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experimental datasets, image series, or complex spectroscopy using languages such as MATLAB, Python, C++, or equivalent tools (e.g., Abel inversions, tomographic algorithms). Ability to design, troubleshoot, and
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research contributions. Strong programming and software-engineering experience in languages and environments relevant to the lab’s work, such as Python, C/C++, Java, JavaScript/TypeScript, containerization
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quantitative data analysis. Strong programming skills in Python, including the development of reproducible data-analysis pipelines. Experience coordinating research or data-analysis tasks across projects. Strong
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 9 days ago
(e.g., Python), or supervising students is a plus. We offer The opportunity to develop your own research questions within the group's research program, with mentoring towards an independent career
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development