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, bioinformatics, molecular biology, toxicology, pharmacology). 2. Proficiency in bioinformatics, programming, and tools for the analysis of large genomic datasets and single-cell dataset, including R, linux, python
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/genomics, systematic biology, or similar. · A record of scientific publication in peer-reviewed journals. · Experience analyzing genomic/molecular data, including experience with Linux/Unix and data analysis
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software frameworks such as O-RAN Front Haul Interface is valuable Good skills in development in Linux and with open-source software tools like Git and Jenkins, CI/CD, and operation of SDRs like USRPs and
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to large datasets You have proven programming competence in Python and/or R, and expertise in Linux and high-performance computing environments You have a genuine interest in, and prior exposure (through lab
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experience performing neuroimaging analysis is strongly preferred. Programming: Proficiency in Python is required. Experience working in Linux environment and writing Bash scripts is also expected
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about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus. Strong motivation and
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experience in analyzing clinical trials data. The applicant must have excellent communication skills (verbal and written), strong programming skills in R with proficiency in UNIX/Linux system. For the meta
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solid competency with the standard implementation tools used in autonomous robots and embedded systems (e.g., C, C++, Linux, MATLAB, Python, Robot Operating System, Ardupilot, Solidworks, Gazebo Physics
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. Experience with Linux/Unix environments, cloud computing, and version control systems (e.g., Git). Additional Information: Responsibilities: Perform comprehensive analyses of microbiome sequencing data (e.g
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. Experience working in a Linux environment preferred. Experience working in high-performance computing environments preferred. Experience working with NCBI dbGaP, TCGA, COSMIC data preferred. Training in