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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and knowledge of quantitative methods including causal inference and econometric analyses. Additional
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statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and
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molecule tracking Expertise in NIS-Elements for acquisition and analysis, MicroManager for microscope control, FIJI for image processing, and Python for scripting and automation Demonstrated experience
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, data management, or program management is required Experience with programming languages like R, python, SAS is required Additional Qualifications and Skills: Master's Degree (MS, MPH, or other relevant
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platforms including the MS suite of software, GitHub, R, and Python. Works under supervision and independently to perform basic (descriptive analyses), moderately advanced statistical analyses (inferential
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-solving skills. Prior experience with prototyping or fabrication (for example, CAD, 3D printing, or machining) is desirable but not required. Familiarity with MATLAB and/or Python is preferred. Additional
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platforms including the MS suite of software, GitHub, R, and Python. Works under supervision and independently to perform basic (descriptive analyses), moderately advanced statistical analyses (inferential
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Server and Active Directory Virtualization (e.g., VMWare) Linux shell scripting Experience with statistical software (e.g., SAS, R, Python) on a research computing cluster is a plus Experience with Ansible
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition