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interest in cytoskeletal dynamics and cancer biology Proficiency in Python and MATLAB for image and data analysis Experience with 3D/4D image processing or quantitative modeling Experience with optical flow
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is considered positively, but is not a requirement: live cell microscopy, image analysis, whole genome sequencing, physical/mathematical modeling, coding in Python and/or Matlab. Suggested reading
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with RNA-based assays, spatial transcriptomics, cryosectioning, or histology Basic computational or data analysis skills (e.g., R, Python, ImageJ/Fiji, MATLAB) Experience with plant care, genotyping, and
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Computer Engineering, Computer Science, or a related field. - Solid programming skills (e.g., Python, C/C++, MATLAB). - Knowledge or strong interest in at least one of the following topics: Image/video
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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-theoretic models is a plus; Proficiency in programming (e.g., Python, Matlab, C++); Strong interest in fundamental research on autonomous systems and decision-making. No prior knowledge of contextual radio
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possess strong quantitative skills (e.g. Matlab, C++, Python). The term of this appointment is one year with the possibility of renewal contingent upon satisfactory performance and continued funding
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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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students. Experience or training in relevant computational tools as are appropriate for the area of specialization (e.g. Python, R, MATLAB, SQL, etc.). Demonstrated potential for research in applied
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem