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Field
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, as well as experience in programming with Python, R, SQL, and knowledge of web technologies (HTML, CSS, JavaScript). A good command of the English language is also valued. Knowledge of tools used in
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. • Proficient experience with various robotics simulators (e.g., MuJoCo, PyBullet, Gazebo) and excellent programming skills in C++, Python, and MATLAB with the ability to develop efficient, production-quality
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in the CV. Additional optional skills and qualifications: Preference will be given to candidates with previous experience in data analysis, as well as experience in programming with Python, R, SQL, and
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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knowledge in modeling light propagation in non-Hermitian random media. Proficiency in programming languages such as Matlab, Mathematica, or Python. Proficiency in using electromagnetic simulation software
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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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system dynamics and hydroclimate extremes. Strong programming skills including analysis of large hydroclimate datasets in Python or similar and creating analysis and visualization workflows on a
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS
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Python for stimulus presentation and data analysis Conduct statistical analysis using software such as SPSS, R or Python to support data interpretation and research findings Collaborate with and provide
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments