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; semiconductor device fabrication; high frequency, low-noise electrical measurements; interfacing computers with instrumentation using LABVIEW; and programming in MATLAB, PYTHON, C++, and/or IGOR. For more
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to be able to independently develop scientific concepts and methods, be competent in coding with Python and Matlab at least, and be fluent in both speaking and writing in English. The EU Mobility Rule
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(e.g., knowledge of principles and procedures related to field and area) Demonstrated proficiency in coding, robotics, and engineering design (e.g., Python, MATLAB, Arduino, C++ or similar). Other
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of programming techniques in Python, C, and C++; Advanced proficiency in Windows operating systems and Office 365 suite; Advanced knowledge of the MATLAB environment; Very good knowledge of AVR and STM32
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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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the following list: C, C++, Python, Matlab, Mathematica. Programming skills will be used to build experiment control systems, data analysis systems, and to perform numerical simulations of experiments. This is
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. If necessary, the applicant selected for the position will be trained in indoor localization. § Good computing skills and proficiency in some programming languages, such as C/C++ and Python, and MATLAB is
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in Python, Matlab or C++ What we offer: The position is embedded in the BMFTR NanoMatFutur project “All-GO-HEMT”. Within this project, the position is available immediately and is limited to three
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software applications to support study aims using MATLAB, C++, Python, CUDA, ROS, JAVA, MS .net, Arduino, or other languages as needed. (20%) Support IRB and R&D applications. (15%) Support grant and
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tasks Development and implementation of behavioral protocols Analysis of imaging data Programming analysis tools (Python/Matlab) Associated activities: Participation in team meetings and seminars