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Field
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programming skills are UNIX/LINUX, and programming languages such as Python, R or MATLAB. Role Summary Implement and test different ML architectures for postprocessing precipitation forecasts over India
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and experience in fault diagnosis and analysis and protection systems will be advantageous • Knowledge of software such as PSIM, ETAP and MATLAB/Simulink • Prior knowledge and experience in
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, with careful attention to charging protocols and risk mitigation. You are proficient in programming with Python, C++, MATLAB, and have strong experience with ROS, alongside familiarity with R
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good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB programming languages would suit the project requirements
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planning, spacecraft rendezvous, docking, and proximity operations. Utilize physics-based robotic simulation tools (e.g., Gazebo, Matlab/Simscope) and space mission analysis software (e.g., GMAT, STK
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software (Prism, Origin Pro, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to
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doctoral degree. A strong background in computer science, and good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource
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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