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/co-first-author original research papers. - Strong programming skills in Python or R, and Linux Shell. - Creative, independent, and highly motivated, with good communication skills Preferred
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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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Qualifications: PhD with a strong background in MRI physics. Hands-on experience with Siemens MRI scanners. Hands-on experience with Linux operating systems. Brief Description of Duties: The Postdoctoral Associate
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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 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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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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and the Linux programming environment. Candidates with background in Physics, Physical Chemistry and Engineering are desirable. Candidates with only prior experience in empirical methods like docking
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hardware security. Experience with Linux and high-performance computing environments. Excellent programming skills in modern programming languages. Excellent written and oral English communication skills