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Field
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annotation, comparative or population genomics, command-line work in a Linux/HPC environment, and scripting in at least one of Python, R, or Bash. Hands-on molecular biology (DNA extraction, library
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building highly distributable software (e.g., R packages, Python modules, Linux-based command-line tools, C programs, MATLAB applications, GitHub) The candidate will further support all laboratory activities
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: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing
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. Linux) and programming (e.g. Python). Minimum Qualifications: PhD in biology or computer science or similar. Responsibilities • Conducts lab research under the guidance of the supervisor(s
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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analysis packages, basic shell scripting, experience in Unix/Linux platform) and experiences with deep learning tools (e.g., PyTorch, TensorFLow, Keras), neuroimaging analysis tools (e.g., PMOD, SPM, FSL
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skills Fluent English (written and spoken) We also appreciate the following: Experience in systems biology, omic data analysis, or microbiome research Experience with R and Linux/Unix Experience with high
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, or related fields. 2) Experience working in a Linux environment. 3) Experience in one or more programming languages such as Python, Perl, C, or Fortran. 4) Experience in one or more molecular dynamics
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relational databases (e.g. Oracle, SQL, MySQL). Comfortable working in a Linux environment. Experience with data processing pipelines and data analysis. Excellent communication skills with a diverse team of
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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