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Field
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quantitative data analysis ● Strong technical expertise and independence in programming, with proficiency in tools such as Binary Ninja, IDA Pro, Matlab, software radios, LaTeX, etc. ● Demonstrated
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. in MATLAB, Python, C) are essential. You will also closely collaborate with a second postdoctoral researcher, who will be hired later in the year, a cohort of PhD students, and a range of visiting
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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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productivity from previous training • Excellent oral and written communication skills are mandatory • Expert knowledge in scientific computing, including fluency in MATLAB and Python • Advanced skills with Linux
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or MATLAB) A strong record of authorship in peer-reviewed academic journals Excellent interpersonal and communication skills to support effective collaboration For consideration, applicants need to submit a
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Engineering, or related. Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R). Experience withnumerical methods, optimization, parameter estimation, and sensitivity and uncertainty
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mathematics, biomedical engineering, population genetics, ecology, computational biology etc. Strong numerical programming skills in Python, Matlab and/or R. PREFERRED QUALIFICATIONS: Experience with C++ coding
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms
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analysis skills: Statistical analysis through SPSS, R, Design Expert, Origin, MATLAB, chemometric tools, or other software. Bioinformatics and grant writing. All positions are security-sensitive. Applicants
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research