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-reviewed international journals (SSCI-listed or equivalent) strong skills in quantitative data analysis using R (or Python or Stata) Experience with survey data, macro-level data, or text-as-data is an
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Matlab and/or Python, R C2 Research creativity and cross-discipline collaborative ability as appropriate C3 Excellent interpersonal skills including team working and a collegiate approach. C4 Excellent
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iterate solutions Evidence of intermediate to advanced skills in data and visualisation tools such as SQL, Python, RStudio, Power BI and Domo Strong communication and interpersonal skills (oral, written and
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tissue Experience with quantitative image analysis tools, multiplex imaging and/or spatial transcriptomics Coding skills (e.g., Python, R) for image or data analysis Please note: This role requires
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solutions using tools such as Ansible, Puppet, Bash, or Python. Collaborate with scientists, researchers, and technical staff to ensure HPC resources effectively support scientific and mission objectives
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with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
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science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting
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skills in R and Python with experience developing bioinformatics workflows and data analysis pipelines. Hands-on experience using Linux operating systems and high-performance computing (HPC) environments
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months ago(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Subject 2