19 software-defined-network-postdoc Postdoctoral research jobs at Texas A&M University
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upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques
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possess Experience developing or commissioning detector hardware and electronics. Data analysis at a major high energy physics experiment, analysis software development, statistical methods. Computing and
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sample inventory and data management) Working knowledge of office software programs Ability to orally comprehend and express information and use inductive and deductive reasoning Ability to positively and
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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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) 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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, 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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profiling (e.g., flow cytometry, ELISA) Experience with statistical analysis software (e.g., GraphPad Prism, R) for immunological data interpretation Prior publication record in peer-reviewed journals related
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. PREFERRED QUALIFICATIONS Strong understanding of the mathematics of neural networks, large deviations theory, and measure theory. Prior significant contributions to advanced machine-learning or deep-learning
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. Proficiency in statistical analysis (R, SAS, etc.) and GIS software (ArcMap). Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook). SALARY: Approx. $4,791.67 Monthly (Approx. $57,500