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Field
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Excellent knowledge of working with MAXQDA qualitative data-analysis software Excellent knowledge of theories and approaches relevant to research on rural sustainable development and migration Experience
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data analysis software Physical Demands and Work Environment Be able to handle mice and to conduct laboratory experiments Overview Statement Will need to think independently as well as work within the
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and effectiveness in general chemistry laboratories are highly prioritized. Strong software skills in NVivo, Transana, STATA, SPSS, and/or RStudio desired. Additional qualifications include: - Excellent
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to work as a team member, ability to advise and supervise more junior laboratory personnel, familiarity with standard office productivity software (e.g., MS Office), and ability to operate standard office
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experience working with FPGA-based networking platforms/frameworks such as NetFPGA, Corundum, Xilinx OpenNIC, or the ETHZ HLS TCP/IP Stack. Familiarity with Software Defined Networking, SmartNICs, RDMA is an
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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
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software programs including Microsoft Office (Word, Excel, PowerPoint) · Knowledge of computer programming/scripting (e.g., Matlab, Bash/Unix) · Knowledge and experience using image/EEG
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learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in
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Theory. Analyze large-scale educational datasets using statistical software such as R Support development of cognitive diagnostic assessments and item banks for introductory physics and calculus courses
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project funded by the French National Research Agency (ANR). The team to integrate is engaged in the continuous development and improvement of cryo-EM image analysis software for structural biology. The