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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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data analysis (e.g., in Python, MATLAB, or similar) or in analyzing scattering data is desirable. Proficiency in English (German is a plus). Enthusiasm to engage in multidisciplinary and international
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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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(MSc., M.Eng. or equivalent) in Computer Science or related field Requirements for the position: strong programming skills (C#, Unity3D, Python, JS) experience with interactive system prototyping, AR/VR
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histological datasets. Programming skills in languages such as R and/or Python. Experience with colorectal cancer research is an advantage. Ability to work independently and collaboratively in a fast-paced
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processing, or condition monitoring Programming proficiency in Python, MATLAB, or comparable environments Strong interest in applying AI to real-world manufacturing problems Required people skills Self
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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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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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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