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, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as Python, R, MATLAB, or Perl Excellent written and verbal communication skills in English, along with a
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printing software, etc.; proficient in software engineering using C/C++, OpenCV, Matlab, Unity3D, etc.; knowledge of machining; Linux and development on Linux systems; and proven system integration and
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scientific conferences/journals. Qualifications: Ph.D. in genomics/computational biology/bioinformatics/statistics/computer science or related discipline Experiences in Unix/Linux shell Proficient in at least
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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or perl) and experience working in Linux and/or high-performance cluster environments. • A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be
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human omics (preferably related to neurodegeneration) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance
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also include trouble shooting capabilities. Desirable skills include working knowledge of Linux, FORTRAN, Python and C++; experience with machine learning, parallel computing and high-performance
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) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform
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environments. Experience with parallel computing environments, HPC in a Linux environment. Experience with surrogate modeling. Experience with data analytics techniques. Familiarity with C++ and GPU programming
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, Python, Mplus, or similar) - Familiarity with big data, Linux systems, and remote computing clusters - Experience with genome-wide statistical genetics approaches (e.g., GWAS, genetic correlations, PGS