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Python, using GPUs), with the precise balance determined by the candidate’s background and interests. The mathematical tools involved will include matrix analysis, optimization, backward error analysis
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the preparation of technology transfer and valorization steps. • Software development (Python, PsychoPy, real-time analysis and visualization tools). • Integration of acquisition modules (EEG, fMRI
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source level with Python and MNE-Python - Pipeline development in Python and MNE-Python - Articles preparation, presentations and workshopsmantenimento di codice open source. The position is hosted
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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analyze MEG/MRI and behavioral data - Build analysis pipelines in R/Python/Matlab - Lead manuscripts and conference presentations; contribute to grants In compliance with NYC’s Pay Transparency Act, the
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior
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proteomic/metabolomic data integration * Integration of clinical and multi-omic microbiome data. * Biologically informed data interpretation * Experience with Python, R and command line Ideal candidate: A
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fibers, optical and optomechanical components are desired. Experience in scientific programming using MATLAB/Python/C/C++ for data analysis and algorithm development will be favorably considered. Good
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and membrane protein complexes • Familiarity with Linux, MATLAB, Python, or other computational tools is a plus This position provides an excellent opportunity to work on high-resolution structural