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. Strong programming skills. Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow. Preferred Qualifications: Expertise in vision transformer or large language model. Expertise in
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ability to analyze and solve computational problems and apply quantitative analytical approaches Demonstrated fluency in one or more programming languages (e.g., R, Python) and willingness to learn new
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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
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/school is required. If the diplomas are in any language other than English, their certified translations are also required. All the documents must be combined into a single PDF file and named as
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around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small molecules that are likely to be observed by mass
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must have skills in sequence data analysis using bioinformatics (e.g., using Python, R or any suited programing language). These skills must be attested by the contribution to at least one publication in
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
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Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description