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analysis or modelling tools—such as Aspen Plus, Matlab/Python, or similar—to help link experimental findings to process or techno‑economic evaluations. What you will do Take courses at an advanced level
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 18 days ago
of around 3 months in Chile is planned # Basic to good programming skills for data analysis and image processing (e.g., MATLAB, Python) # Good written and spoken English Our offer # A vibrant research
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 18 days ago
# Proficiency in programming languages (Python, Julia, C/C++) # Excellent communication skills in English Our offer # A vibrant research community in an open, diverse and international work environment
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Experience with, or strong motivation to learn, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 18 days ago
skills in Python and/or C/C++ # Experience with scientific software tools and numerical libraries # Familiarity with Linux-based computing environments # Ability to work independently and in a structured
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or 2 years based on performance. Applications, including a CV, a statement of research interests, and three letters of reference, should be submitted through the application portal located at: https
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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methodological training in (bio)statistics and/or machine learning Interest in developing rigorous methods for biomedical, clinical, or public health data Experience with statistical computing (R and/or Python