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. The affiliated early career program of the Jena School for Microbial Communication (JSMC) offers an ambitious, structured and interdisciplinary post-graduate training based on top-level fundamental research
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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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. 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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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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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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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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. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading