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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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required. Qualifications Required Education and Experience: Appropriate PhD in neuroscience, neurophysiology, or a related field. Preferred Qualifications: Expertise in software /data analysis such as
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. If selected, verification of GPA will be required upon acceptance of the internship. Candidates who maintained a 3.00 GPA on a 4.00 scale during the Spring/Summer of 2025 but dropped below a 3.00 GPA during the
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research Publication record in biomedical optics or sensor development Experience with statistical analysis software (e.g., R, MATLAB, Python) Proposed Salary The salary rage for this position is between
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the Required Qualifications section. Skills: Bioinformatics, Biomarkers, Computer Science, Data Analysis, Etiology, Exome Sequencing, GATK, Genetic Research, Linux, Neurodegeneration, PLINK (Software), Python
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, Hydraulics, or related fields. Proficiency and experience in hydrologic and hydraulic modeling tools such as HEC-HMS, HEC-RAS, SWMM, InfoWorks, LISFLOOD, and SFINCS. Proficiency in GIS software (e.g., ESRI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
across nearly 30,000 square degrees of sky. This role will work as part of a collaborative and multidisciplinary team to develop software for data analysis, monitoring, and science verification
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, Argus will collect 1014 photometric measurements of 107 stars. This role will work as part of a collaborative and multidisciplinary team to develop software for data analysis, monitoring, and science
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facilitates the introduction of ‘hidden in plain sight’ CSI features, when combined with the right instrument can facilitate ad-hoc verification further advancing security and authenticity. In 2020 our
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would need to be successful. In addition to mass spectrometers, successful applicants will be familiar with multidimensional liquid chromatography, data analysis software (e.g., Mascot, Proteome