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interpreting omic-seq data sets, with Unix/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command
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frameworks, e.g., Caffe, TensorFlow, PyTorch, and GPU-acceleration frameworks, e.g., CUDA will be a plus. Outstanding SW development and programming skills in C++, Python, ROS tools and libraries. Excellent
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machine learning, robustness, or formal verification (e.g., NeurIPS, ICML, ICLR, IEEE S&P, USENIX Security, CCS). Proficiency in Python and experience with at least one additional programming language such
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to properly report, organize and publish research data Good command in spoken and written English ADDITIONAL SKILLS Programming skills in Python and MATLAB Previous experience thermographic imaging Good
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PhD or MSc in a relevant field of research (Bioinformatics or Computational Biology). Extensive experience in R or Python software development. Understanding of types and properties of mass spectrometry
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: Utilize specialized chemometric and bioinformatics platforms (e.g., MZmine, Compound Discoverer, MetaboAnalyst, XCMS, R/Python packages) for automated feature detection, elemental composition determination