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, Biomedical Engineering, or a related field (or equivalent experience). Strong programming skills in Python, with experience in: NLP/LLM frameworks (e.g., Hugging Face, LangChain, opencode,...). Software
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programming skills (Python or R) for data analysis Ability to design and execute experiments independently Strong motivation, scientific curiosity, and drive Ability to work collaboratively and mentor junior
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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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Excellent critical programming skills in Python Strong command of English (spoken and written) Familiarity with ethical and responsible AI considerations Interest in translating models into applied
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skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project
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Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with
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approaches. The research will also design a European-scale turbidity and sediment monitoring framework combining in situ observations and satellite remote sensing. Where to apply Website https://jobs.unibas.ch