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, transformer-based models), including experience with their application to biomedical and biological data; - Experience with machine learning frameworks and programming languages (e.g. Python) for handling large
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REQUIREMENTS PhD in Bioinformatics/Computational Biology/Computer Science or 5 years hands-on experience in analysis of NGS datasets High proficiency level in programming using R and/or Python A solid
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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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. Experience with Cadence IC design tools is a plus. Experience with scripting languages like TCL, Matlab and Python is required. Experience with revisioning systems, like git is required. Structural way
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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
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of computational linguistics; d) experience in statistical analysis and in the use of dedicated software (e.g. R); e) experience with programming software (e.g. Python). Selection process Together
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conducted in English, the following knowledge will be verified (maximum 65 points): Programming skills (Python, R, or equivalent) (maximum 20 points); Artificial intelligence, machine learning, and/or large