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Field
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experiments • Analyze imaging and behavioral datasets using MATLAB or Python • Contribute to manuscript preparation and grant development Required Qualifications • Ph.D. in Neuroscience or related field
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with specialization in structural engineering, or closely related field and one year of relevant experience. Experience developing software using programming languages such as Python, Fortran, MATLAB, C
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. The applicant should have high proficiency with scientific computer programming in Python, Julia, R and/or MATLAB, parameter estimation methods and HPC simulations. Experience with dynamical systems theory and
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for independent research. Desirable Knowledge of optics and communications. Knowledge of quantum optics and quantum communications. Familiarity with programming (such as MATLAB, Python, etc.). How to apply If you
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knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Interested candidates
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Excellent writing and communication skills Background in wireless communications, robotics, optimization, and ML/AI is a plus Good programming skills (C/C++, MATLAB, Python, etc.) Experience with platforms
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, or quantitative analysis using software such as ImageJ/Fiji, Python, MATLAB, or related tools. Ability to learn and perform technically demanding experimental procedures with accuracy and consistency. Strong
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, CellProfiler, QuPath, Napari, Python or MATLAB. — Ability to interpret biological results and collaborate with researchers from different fields. — Good command of scientific English, both spoken and written
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genetics is essential. You must be able to demonstrate expertise in statistical design and analysis. It is expected that you will be skilled in one or more programming languages (R, python, MATLAB) and
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acquiring human neurophysiological or neuroimaging data — EEG, MRI, or both. Experience working directly with research participants Proficiency in coding, for example in MATLAB, and in handling large-scale