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Field
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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Physics, Electrical Engineering, Materials Science, or a related field with low-dimensional nanophotonics. Excellent publication records will be preferred. Experience in matlab, MEEP, RCWA and other
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of dynamic systems (MATLAB/Simulink, Gazebo); Familiarity with robotic manipulators and manipulator kinematics/dynamics. Digital Twin Development and SimulationExperience in digital modelling of robotic
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programming (Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team
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. Demonstrate experience in marine spatial and multivariate modelling of ecological or environmental datasets and proficiency in coding environments such as R / Python / Matlab; track record of peer reviewed
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(Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected, an
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and an interest in pursuing a career in academia • Strong statistical training and quantitative research methods • Experience with programming languages such as R, Python, Stata, or Matlab is highly
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regional climate modelling, good knowledge of programming in Matlab/Python, Fortran/C, Bash, and working in an HPC environment, published scientific papers, and be fluent in written and spoken English. Where
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, Siemens NX, Ansys, Abaqus, Star-CCM+, Simcenter Nastran, Matlab, and similar programs) and network equipment. Additional Information Benefits Monthly Maintenance Allowance: €651.12 Funding Entity: Instituto