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, model implementation, and infrastructure monitoring. This position will execute data extraction, cleaning, and transformation tasks using SQL, Python, or R, prepare datasets for data science and machine
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Integration of simulation and measurement data into interactive or VR environments Data processing, signal analysis, and visualization (e.g. in Python / MATLAB) You are not expected to be an expert in all three
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or Python. Responsibilities include teaching two undergraduate courses in each of Lawrence’s three ten-week terms. The successful candidate will be the third statistics and data science faculty member in
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: Experience in deep learning, machine learning and medical imaging processing Programming experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent verbal and written
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). - Apply image processing, segmentation, and normalization techniques using Python-based libraries. - Ensure pipelines are reproducible and version-controlled to meet analytic standards. Feature Extraction
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reasoning and robotics C/C++ programming and knowledge Python programming
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in Python and a strong foundation in genome-scale metabolic modelling. This fixed-term post is available for 24 months. Our commitment to Equality, Diversity and Inclusion We are committed to enhancing
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sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline development
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components. To develop this program in oxide electronics, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with any of the following lock
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale