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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
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fields Some experience with basic laboratory techniques Some familiarity with data analysis, and a programming language such as R, Python, or experience in Matlab or Mathematica EDUCATION & EXPERIENCE
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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, computational data analysis and other approaches. Proficiency in cell culture, microscopies, protein analysis including genotyping, Matlabs and other computational tools. Computer experience with bioinformatics
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, electrical engineering, experimental physics, or a related field Strong programming and signal processing skills, with experience in Python and/or MATLAB Demonstrated ability to work independently and
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, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
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, professional, punctual, and able to work in teams and independently. Applicants with experience with functional MRI, R, and Matlab are particularly encouraged to apply. This is a 100% FTE, one-year fixed-term
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-throughput sequencing data Experience working within a UNIX/Linux environment Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL Excellent communication and team skills and
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command line is advantageous. Experience with Python and Matlab / Simulink environments is advantageous. Excellent writing and communication skills in the English language. Excellent problem-solving skills
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred