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, Siemens MR IDEA Image Calculation Environment (ICE), Python and MATLAB, and deep learning techniques are considered assets A strong publication record demonstrating research excellence. A minimum of one
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, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial biogeochemistry and nutrient-cycling processes Strong communication skills
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tools such as R or Python. Ability to design, execute, and troubleshoot complex experiments independently. Ability to organize and prioritize work across concurrent experiments and coordinate with a multi
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, game-theoretic analysis, network problems, decision analysis, or behavioral economics Proficiency in a scientific computing or statistical programming languages (e.g., Python, R, Julia, C++, or MATLAB
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programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in the experimental implementation and validation of robotic systems
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analysis approaches) with human participants, and preferably also in psychoneuroendocrinological and behavioral studies; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a
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Certification; experience with Matlab, Python or R. Deadline to Apply Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work
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; lithium-ion or other rechargeable battery systems; porous-electrode theory; electrochemical transport phenomena; numerical modelling and simulation; multiphysics modelling; Python or c++ and scientific
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data and scientific software (OriginPro, R, Python or equivalent). Participation in competitive research projects. Applicants must demonstrate proficiency in English (minimum B2 level
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, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial biogeochemistry and nutrient-cycling processes Strong communication skills