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image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
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proficient programming skills in one of the following: Python, Matlab, C/C++. Employment is contingent upon the candidate’s ability to obtain the required security clearance. See the last paragraph under
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. Experience with a scientific programming environment (such as Python, R, or Matlab) is preferred. ? Strong communication skills. ? Background in machine learning or biology is a plus. ? Knowledge of cancer
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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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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Python, R, or Matlab). Demonstrated ability to multi-task and present/organize data. Familiarity with experimental design (controls, technical vs biological replicates). Ability to independently analyze
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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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the area of antenna systems and their applications in biomedicine/biology Knowledge of computational electromagnetics with practical experiences with electromagnetics modeling software Programming in Matlab
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, or computational imaging; You have strong skills in digital signal processing (DSP), including familiarity with machine learning or deep learning; You have proficiency in scientific programming (e.g., Python, MATLAB
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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