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position within a Research Infrastructure? No Offer Description The research proposal aims to use machine learning, including large-scale language models, to analyze large datasets of smaller Solar System
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models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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a combined background in biotechnology or biology and any of the above mentioned disciplines. Excellent communication and collaboration skills, preferably with scientsist from the synthetic biology
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or equivalent Skills/Qualifications Required competencies PhD in organic chemistry very good knowledge of organic chemistry knowledge of the English language in speech and writing previous work in the laboratory
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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data from measurement and observation networks, as well as snow testing protocols, to provide access to a larger, harmonized information system on both sides of the border; Mutual training and
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Tick-borne Bacteria is part of the Swedish Laboratory Network in Microbiology (SLIM) coordinated by the Public Health Agency of Sweden. NRL's mission is to provide primary and confirmatory diagnostics
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of the University’s local, national and international academic and community networks related to Centre-related research. Work closely with key members of the Centre to support and enhance the postgraduate research
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Social Sciences department (DI2S). Working with the project team, you will conduct qualitative surveys. You will contribute to scientific output through the drafting of communications, articles, and books