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, with demonstrable aptitude for both. Programming in R and/or Python for the analysis of sequencing and screening data. Experience in screen design, execution, and analysis is an advantage. Established
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
desire to learn new (technical) skills; and proficiency with Python, Javascript, XML, CSS, and LaTeX. PREFERRED: Experience creating plots and 3D interactive images in Mathematica, MATLAB, or python; ties
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cognitive science, cognitive psychology, developmental psychology, or ethology is expected. Proficiency in a programming language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be
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neuroscience or sensitization; Proficiency with REDCap and with R, MATLAB, or Python. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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surface science Prior experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python programming
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extraction, or machine learning; or o Ecology, evolutionary biology, biodiversity informatics, or similar, with a focus on large-scale, quantitative research. · Strong programming skills in Python and
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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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analysis of single-cell and genomic datasets, including scripting and pipeline development in R and/or Python. • Contribute to the development, testing, and maintenance of reproducible software tools and
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity