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, chemical imaging, spectral analysis, or image analysis. Experience with O-PTIR, FTIR imaging, Raman mapping, chemometrics, micro- and nanoplastics, biological samples, Python, R, or MATLAB is highly
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of satellite-based EO Data Assimilation (DA). Experiences in software development for geospatial applications and proficiency in programming languages (e.g., Python and C++) are highly valued. The teaching
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
field data acquisition, processing, and interpretation. * Strong programming skills. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance
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Python development and contemporary deep learning frameworks such as PyTorch, as well as practical experience with OpenCV or comparable tools for computer vision. You have a good command of classical
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proficiency in two or more relevant programming languages (e.g. Python, R, SQL, Julia or others) a flair for technical tasks involving hardware and software, troubleshooting, firmware updates and maintenance
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Python and/or R • Experience with automation and workflow technologies • Interest on environmental genomics and microbial ecology Qualification requirements Appointment as Researcher requires
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systems Software engineering Good analytical and mathematical skills. Experience with scientific programming or software engineering (e.g., Python, C/C++, Rust, or similar). Experience in industry projects
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biostatisticians. Your competencies You should demonstrate a strong computational profile and hands-on experience working with complex datasets, alongside high proficiency in programming languages such as Python, R