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, Machine Learning, Optimization for AI, Probability and Statistics, Scientific Machine Learning, and AI for Science. Spanish language skills are not required. Our working language is English. Both our
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. The selected candidate will work with researchers to organize and quality check datasets, develop reproducible scripts and workflows, analyse results, and communicate findings clearly to experimental colleagues
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to manage multiple tasks and priorities and work independently. Strong problem-solving skills and ability to make independent technical decisions. Clear written and verbal communication skills. Collaborative
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for large language models. Develop data processing toolchains for data collection, cleaning, annotation, desensitization, and storage, as well as design and develop LLM-oriented fine-tuning workflows
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attention to detail. Strong interpersonal and communications skills, and the ability to build relationships with key stakeholders. Ability to use own initiative where appropriate and be proactive in approach
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analysis and scientific writing. Personal Competences: Ability to work with deadlines. Ability to be creative, proactive in research ideas and activities, excellent communication skills and ability to work
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activities, excellent communication skills and ability to work within a research group including collaboration with other international teams. Summary of conditions: Full time work (37,5h/week) Contract Length
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infrastructure. DUT brings together a large community of distinguished scholars, maintains a vibrant academic atmosphere, and provides strong research funding support. Through an extensive international
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. We have used these methods to produce the first comprehensive maps of long-range allsoteric communication in proteins, to quantify the effects of >500,000 variants in >500 human proteins, and to probe
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analytical rigour; ability to work in an interdisciplinary theoretical and computational team; good written and oral communication in English; capacity to deliver results within a short (6-month) project