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computer science, or related discipline, substantial research or work experience with either fMRI neuroimaging, cognitive neuroscience, affective neuroscience, or programming languages (e.g., R, python, bash
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datasets • Contribute to data processing and analysis (R/Python; training provided as needed) Research Operations • Maintain study documentation and regulatory materials • Participate in lab meetings and
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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
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of References: 3 To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information. Contact Information Contact:Eileen R Sullivan
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proficiency in R, Python, or MATLAB. Familiarity with stem cell culture or GPCR biology is beneficial. Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters
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data analysis skills, including experience with R, Python, MATLAB • Excellent written and verbal communication skills • Strong organizational and interpersonal skills and ability to work collaboratively
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team and train others Proficiency with computer programming (e.g., MATLAB, Python, R, etc.) Desirable Qualifications: Experience using preprocessing and postprocessing pipelines for resting state
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to the University of Iowa. To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information. Contact Information Contact:Katherine R Mellen
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or manuscripts in preparation. Experience with fMRI data acquisition and/or analysis (e.g., FSL, SPM, AFNI, fMRIPrep, nilearn). Proficiency in at least one programming language (e.g., Python, MATLAB, or R
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for This Position" button located below the Contact Information. Contact Information Contact:Jessica R Schnoebelen Cmed-Pathology General Hospital 220 Hawkins Drive C660 GH Iowa City, IA 52242 Phone: 319-384-9609