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of the GRISLI model Code programming in Python and Fortran Write scientific articles - good level of English required Analysis of a large set of GRISLI simulations and sensitivity study Presentation of results
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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processing. Familiarity with tools such as Python, R, or similar for data analysis. Interest in translational research and bridging the gap between lab and clinic. What We Offer: An opportunity to work
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quantitative biomedical sciences. Experience with R and/or Python packages Experience working with Linux, including shell scripting Preferred Qualifications: PhD or MD/PhD degree in Bioinformatics, AI machine
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for those who can also program in Python and know standard network analysis techniques and metrics such as community detection and centralities. Prefernce for those with experience in geo-spatial analysis
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understanding, or digital twins • Experience working with real-world and synthetic datasets and sensors (e.g., RGB, depth, LiDAR) • Proficiency in Python and frameworks such as PyTorch, OpenCV, or Open3D • US
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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Qualifications: Strong coding experience, preferably in Python. Experience teaching and mentoring of students. IMPORTANT: Applications must also be submitted online at https://isu.wd1.myworkdayjobs.com
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/Electronic/Industrial Engineering (obtained less than seven years ago); • Academic or professional experience in areas related to knowledge representation, such as Ontologies or Metadata and Python programming
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Processing Skills required: - Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants) - Artificial Intelligence skills and deep learning experience - Proficiency in Tensorflow