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Postdoctoral Researcher (m/w/d) to support the ERC-StG-funded project “ClimaSoNo” (https://cordis.europa.eu/project/id/101115813). The project's mission is to understand the vast heterogeneity in behavior and
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, cell culture and flow cytometry in the field of immunology is a must. • Excellent communication skills with colleagues and scientists. Proficiency in English and strong work ethics (Laboratory language
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of SATURNA, namely Language Models for RNA sequences, Graph representation learning and generative models, Knowledge-Augmented RNA modeling, Computational RNA biology and Experimental stem cell biology and RNA
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reconstruction Develop methods for behavior understanding from multi-view video and audio recordings Advance multimodal large language models for fine-grained action understanding and reasoning Help shape the next
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
command of English (approximately equivalent to CEFR level C1) Preferred Qualifications and Skills Experiences in numerical modeling, advanced data analysis, and physical oceanography Experience working
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states. You are encouraged to bring in your individual ideas and expertise to the current project and furthermore to develop new project ideas. Where to apply Website https://www.academictransfer.com/en
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from a fully equipped computing work environment and access to university libraries. Travels may be requested. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8053-SAMBAT-004/Default.aspx
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employment decision is made. Proficiency in written and spoken English, as this will be required in day-to-day work. Strong laboratory and computational skills. Awareness of diversity and equal treatment
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requirement must be met no later than the time the employment decision is made. Proficiency in written and spoken English, as this will be required in day-to-day work. Strong laboratory and instrumental skills
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written and spoken English,as this will be required in day-to-day work. Strong theoretical background in systems modelling, estimation, optimization or machine learning. Awareness of diversity and equal