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Field
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programming and data analysis, including fluency in R and/or Python Experience in managing code repositories Record of scientific initiative and creativity in research or development activities Capable
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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components (low-noise amplifiers (LNAs), power amplifiers (PAs), mixers, oscillators etc) Experience in designing analog and mixed-signal circuits for RF applications. Knowledgeable in python programming, AI
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methods • Comfortable in mathematical modeling and analysis, including writing proofs • Proficiency in scripting in and performing data analysis in Python or Matlab • Research independence More
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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analysis of large datasets using Python, Matlab, or other programming languages - Experience with embedded system, particularly IoT sensor development. - Experience with optical sensor development preferred
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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proficiency in data analysis tools (e.g., Python, R, SPSS). Proven track record of conducting research in AI safety, governance, or related areas, with publications in peer-reviewed journals or policy reports
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formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered