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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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opportunity Experience in machine learning and deep learning Proficiency in one or more high-level programming languages such as Python, Java, or R. Strong commitment to interdisciplinary research and a track
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: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and
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/Python).Further information can be found at:https://www.findaphd.com/phds/project/?p185925If you are interested in this opportunity and would like to know more about it, please contact me via email at
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, Skills and Experience Broad knowledge of statisticsSkills in programming languages such as R and/or Python Experience of applying statistics to solve complex real-world problems Ability to handle a diverse
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proficiency in relevant programming languages (e.g., Python, C++) and tools such as ROS. Experience in simulation and digital twins, as well as the use of synthetic data for training machine learning models, is
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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flight dynamics and mission-based performance analysis. o Programming skills in Python, C++, or equivalent for simulation preprocessing/postprocessing. o (Desirable) Exposure to reduced-order
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural