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Field
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analyze MEG/MRI and behavioral data - Build analysis pipelines in R/Python/Matlab - Lead manuscripts and conference presentations; contribute to grants In compliance with NYC’s Pay Transparency Act, the
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environment; Python programming Preferred Qualifications Experience with unstructured grid ocean modeling system such as SCHISM. Experience of using programming language Python to deal with large 3D ocean data
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security, and reproducible experiments. Strong programming skills (e.g., Python/C++); ability to prototype and evaluate security controls on cloud-native stacks (Docker, Kubernetes, Helm). Records
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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Matlab, Python, or R programming experience. - A background in fMRI data analysis. - Excellent oral communication and interpersonal skills. - Ability to work effectively independently and in a team
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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, 3D design/printing, and building rodent behavioral apparatus. Familiarity with FED3 rodent behavioral devices. Proficiency in Python for data analysis. Familiarity with Bonsai workflows for data
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), mechanical testing, or non-destructive evaluation of metals and alloys. Hands-on experience skillsets with finite element methods (ABAQUS), programming languages (Python, MATLAB, C++), experience in signal
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to genetic, genomic, and clinical data analysis are strongly encouraged to apply. Proficiency in programming languages such as Python or R (C/C++ is a plus). Prior experience working with genomic and other
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; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS