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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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with GNU/Linux environment. A good understanding of the basic concepts of genetics and biology is not necessary but welcome. The project will consist in developing un-orthodox Neural Network models with
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technical skills • Excellent spoken and written communications • Proficiency in MATLAB/Python and UNIX/Linux environments • Strong organizational skills Preferred: • Prior experience in vision research • fMRI
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) Comfortable working in a Linux environment Experience with data processing pipelines and data analysis The successful candidate should have experience with development of open-source computational tools
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/genomics, systematic biology, or similar. · A record of scientific publication in peer-reviewed journals. · Experience analyzing genomic/molecular data, including experience with Linux/Unix and data analysis
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programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in English and ability to work in a team Outstanding analytical and problem-solving skills Employment terms: The successful
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evaluation Knowledge in biology and genomics Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy) Familiarity with Linux environments, version control (Git), cloud
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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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in scripting and/or compiled languages Familiarity with Linux/Unix environment and compute clusters Strong oral and written communication skills Good organizational, communication and interpersonal
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-on experience building or modifying equipment and working effectively within multidisciplinary teams. Experience with Linux, ROS/ROS2, electronics and sensor integration, algorithm design, and laboratory