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farmers. Its research focuses on areas such as cryo-conservation of genetic material, big data analytics, breeding value estimation, phenotyping of novel traits in various species, and bioinformatics
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learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in the shipping industry
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learning and machine learning for biological data Sequence and structure analysis of large-scale datasets Functional annotation and evolutionary analysis Collaborative research with experimental virology
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Cooling systems are essential for modern society - from server rooms and data centers to food storage and thermal comfort - yet they are also large energy consumers. This PhD project aims to make
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large-scale international facilities (such as synchrotron and neutron sources). Details of the research activities as well as publications and background information are available on the group website
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extended abstract of your Master thesis. Two letters of recommendation should also be provided here by the deadline. Only complete application will receive full consideration. Fore more information on BIGS
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions
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26 Nov 2025 Job Information Organisation/Company CNRS Department Institut P': Physique et Ingénierie en Matériaux, Mécanique et Énergétique Research Field Engineering Chemistry Physics Researcher
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and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances
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according to their background and interests. Applicants should have strong quantitative and computational skills (e.g., text or image analysis, natural language processing, large-scale data methods) and a