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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
demonstrated proficiency with computer coding, such as Python, MATLAB, R, and expertise in statistical modelling. · Experience in designing, planning, and conducting experimental procedures, including
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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). Require skills Strong background in communication networks and wireless/satellite systems; Knowledge of machine learning and optimization techniques; Experience with simulation tools (Python, MATLAB, ns-3
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programming languages (e.g., Python, shell scripting) or statistical analysis software (e.g., SPSS, SAS, R, MATLAB) is preferred. 6. Basic knowledge of statistics is preferred. 7. Electrical, mechanical
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Python, NCL, and MATLAB. Should have proficiency in scientific computing, high-performance computing (HPC), and scripting (e.g., Bash, CDO/NCO). Should have strong quantitative and analytical skills in
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Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills
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science and their data analysis Technical skills – Programming skills (model code is in matlab) in matlab or similar e.g. Python – Organised approach to model application/development, tracking versions as
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cable or relevant large scale devices C2 Proficiency in numerical tools (e.g. MATLAB Simulink and m-file, Python, FEM-based software including COMSOL, ANSYS, or equivalent) C3 Ability to communicate
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Staff/Administrative Internal Number: 1113775 Position Summary The Clinical Neuroscience Lab at Michigan State University (https://cnl.psy.msu.edu/ ) is seeking to hire a Research Technologist I to
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empirical research (e.g., Python, R, Stata, Julia, or MATLAB) is required. Familiarity with SQL, cloud computing, or text analysis is helpful but not required. If you believe that this opportunity is a match