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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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, genetics, plant biology, or a related field, and have documented familiarity with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy
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Demonstrated experience in performing novel and cutting-edge experiments, with soft x-ray microscopy for magnetic materials and/or coherent techniques using X-rays Good Python programming skills, a working
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skills in Matlab and/or Python. Meritorious qualifications Experience in medical image analysis. Knowledge of or practical experience with generative models, anomaly detection, and image and signal
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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academic track record proficiency in programming (preferably in Python), personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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management plans. Experience of NextFlow or Python is essential. The role will involve collaboration with both academics and healthcare professionals and issues of data security are therefore paramount
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science, AI, or computer science. Documented experience in professional software development. Experience with programming and AI (e.g., Python, RAG, Agent System). Experience in GenAI, natural