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, probability theory, stochastic modeling, optimization methods, and algorithm design A strong interest in mathematical modeling and theoretical analysis Programming skills (e.g., Python, Julia, or similar
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Computational Engineering, Computer Science, Biomedical Engineering, Data Science, or comparable Programming skills, preferably in Python and JavaScript Experience of SQL and relational databases Basic experience
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 month ago
monitoring, maintenance and trouble-shooting of LC-MS systems Experience using DIA and DDA methods, search engines and statistics Bioinformatics skills and coding (e.g. R and Python) Experience in working in a
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Experienced with Python/Pytorch/Tensorflow Familiarized with Machine Learning Familiarized with Reinforcement Learning (preferable, not mandatory) What we offer Insight into exciting research projects Cutting
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preparation Background working with plants Experience in single cell genomics protocols Programming skills (R, Unix, Python, cluster computing) We offer: Varied and responsible tasks in a dynamic international
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chemistry is highly desirable excellent problem-solving skills and analytical thinking proficiency in programming (e.g., Python) is an advantage good communication skills and the ability to work in a
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
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, knowledge in computer vision and facial recognition. Good Python skills, preferably some experience with PyTorch, OpenCV, etc. Motivation to independently delve into new and current research topics. Interest
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some