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, positive attitude, and passion of research. Preferred Qualifications Interest in carbon crediting, carbon offsets, and the world of carbon finance. Competency in using a programming language (R, Python
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, positive attitude, and passion of research. Preferred Qualifications Interest in carbon crediting, carbon offsets, and the world of carbon finance. Competency in using a programming language (R, Python
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experience in battery research and proficiency in Python programming is an advantage, but not a requirement. Our offer You will join a dynamic young international research group working in state-of-the-art
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. Job description Your task would include one or both of the following: help us in setting up the data pipeline for a synthetic population and travel demand model using Python (i.e., pandas, NumPy
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languages (Python, C++). Familiarity with software engineering practices such as version control, automated code testing, code packaging and containerisation. Problem-Solving: Strong analytical and problem
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, such as relevant Python or Julia libraries (PyTorch, JAX, and similar) and how to package simulation or ML codes for dissemination or deployment on distributed servers (e.g., Docker, Singularity, and
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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techniques or tooling, such as relevant Python or Julia libraries (PyTorch, JAX, and similar) and how to package simulation or ML codes for dissemination or deployment on distributed servers (e.g., Docker
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languages (in addition to Python) Experience with signal processing Familiarity with experimental design and empirical validation methods optional but useful: prior experience with AR/VR and Unity/Unreal
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yourself further with scientific software packages (e.g., scripting languages, GIS software, MATLAB, Python, R, Stata, etc.). Enjoyment of scientific work. Ability to work in a team, have problem-solving