309 computer-science-programming-languages-"U.S"-"U.S" Postdoctoral positions at Nature Careers
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, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C
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-source tools and has a long history in coupling natural language techniques and knowledge graphs. The R&D programme for that position includes several tasks: Generalize and abstract the bot from specific
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of epithelial plasticity in kidney repair to contribute to the preparation of scientific publications, grant applications and presentations to contribute to teaching in Biomedical Sciences (Master programme
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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, or collaborating in the research activities of other living laboratories, Participating in the implementation of collaborations within research programme Desirable qualifications (beneficial): Experience with
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are The postdoctoral researcher will be affiliated with the Plant Molecular Biology section at the Department of Molecular Biology and Genetics, Aarhus University, where the research program is coordinated
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
occupying more than 5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster
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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
. degree in Computer Science primary, or related field (in the latter case, special emphasis will be placed on assessing programming proficiency). Comprehensive background in modelling, simulation and
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the following topics: Large Language Models and Multimodal Language Models Generative Networks and Diffusion Models Program Analysis Software Testing Automation The candidate should have critical thinking and