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Field
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programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage
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Learning or Artificial Intelligence Must have good programming skills in Python Language requirement: Good oral and written communication skills in English English requirements for applicants from outside
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, random forests, etc.), and languages like R, Python, or Julia for health data analysis. Experience in backend/frontend development, data visualization, and web apps using JavaScript, Python, and Linux
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/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral communication skills Ability to work both
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, and simulation. Strong programming skills (Python, MATLAB, or C++). Excellent problem-solving skills and a collaborative mindset. Experience with micro-Doppler or range-Doppler radar analysis
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expertise is preferred but for the right candidate can be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other
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be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral
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areas in credible journals and conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as
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Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability
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for appointment. Solid background in machine learning and scientific profile relevant to the project described above. Proficiency in scientific programming (Python) and deep learning frameworks. Fluent oral and