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using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic systems. Experience supervising Bachelor’s or Master’s students. Experience in
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
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modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages and tools. Ability to work with large datasets and to integrate these data with acoustics models
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computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to work both independently and collaboratively in
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record. Preferred Prior experience with spintronic materials or beyond-CMOS device platforms. Familiarity with MATLAB or the Python scientific stack. Prior involvement in multi-PI collaborations
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 15 days ago
programming skills (R, Python and/or MATLAB) and familiarity with multivariate analysis methods (e.g. RSA) Good communication skills and ability to work both within a local and a distributed
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will work on the development of idealized ecogeomorphic marsh models for the Pacific Northwest region as a part of an NSF-funded project. The successful candidate will work on model development (Matlab
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. Expertise in design and analyses of fMRI data (both task and resting state-based fMRI data) Expertise in univariate analyses (e.g., SPM, FSL) and programming (e.g., Python and Matlab) Experience in
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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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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