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Field
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ultrafast laser systems, interfacing instruments, Labview/Matlab programming, experience working with biological systems and/or nanoparticles, surface functionalization, materials characterization, various
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programming languages such as Python, R, or MATLAB. Strong written and verbal communication skills with a record of publications in reputed journals.
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Longitudinal neuroimaging analysis Programming in Python, R, and/or MATLAB Reproducible research practices and Git-based version control Preferred technical depth Neuroimaging software: FSL, FreeSurfer, ANTs
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proficiency: Matlab, Python, R, SPM, CONN; Very strong knowledge of neurophonetics, particularly stuttering and verbal disfluencies; Solid background in neuroscience and in the neuropsychology of language and
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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media Experience with microscopy and image analysis (e.g. ImageJ, Python, MATLAB) Ability to work independently and collaboratively in an international research environment As a formal qualification, you
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or Matlab) is preferred. Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted electronically via Interfolio. Carnegie Mellon
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one or more programming languages, preferably Matlab or Python, is considered an asset. Demonstrated ability to produce high-quality publications. A desire to help lead an integrative and motivated
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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devices, with emphasis on lithium-ion, sodium-ion, and lead-acid battery systems. Modeling and analysis will leverage tools such as COMSOL, MATLAB, Excel, Python, and related scientific software. The role