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candidates will teach introductory computer science sequences in Python (e.g. DCS 109X, DCS 229 Data Structures, and DCS 211 Computing for Insight), and other upper level computing courses based on their area
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: Strong quantitative and analytical skills. Proficiency in one or more statistical or programming platforms, including R, Python, SAS, or Stata. Experience working with complex datasets and epidemiologic
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programming language (R or Python). Experience working with large environmental or soil datasets. Demonstrated experience with written and oral scientific communication. Preferred Qualifications – Experience
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experiments in macrophages and carry out their quantitative analysis. The work will involve image processing, segmentation and tracking using Maestro and ShuttleTracker, complemented by Python-based analysis
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. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
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Strong research experience in machine learning or deep learning, with practical experience of developing models in Python using a modern framework such as PyTorch. Essential Application/interview Research
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computer science. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data or unstructured text data with large language models. Preferred
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
tasks include: implementing computational mechanics algorithms in Python and C++, translating existing research codes and numerical methods into a modern collaborative software framework, developing
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Vision Language Models (LVLMs). Experience in physics-based 3D modelling would be an advantage. Proficient in Python and PyTorch, with familiarity in C/C++. Strong oral and written communication skills in