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, UT Track Track Dependent on Qualifications New Position to Begin Details We invite you to join the multidisciplinary faculty of the Department of Family and Preventive Medicine, Division of Family and
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evaluation platform that tracks and ranks state-of-the-art LLMs for vulnerability detection, conducting rigorous testing to ensure accurate assessment of model robustness against adversarial attacks. Is Your
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be carried out following an in-depth review of the scientific literature. Main supervisor: Dr. Christophe Lang (UMLP) Objectives: (1) Study the scientific literature (2) Develop a connection between
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/objectives, and a brief summary of planned studies. Stage 2: Candidates who pass this stage of the selection process will be invited to be interviewed about their proposal by Professor Monica Whitty Enquiries
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 11 days ago
of this position are those considered in the scope of the Research project mentioned in the previous article. The tasks comprehended in the object of the employment contract take place in the facilities of Campo
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concerning the characterisation of surfactants, in addition to the utilisation of existing data relating to novel bio-based surfactants that have been prepared by the working group. The objective
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excellent programming skills, hands-on experience with hardware (e.g., KUKA-like robotic arms, cameras, tracking systems, imaging devices), and proficiency with software frameworks (ROS/ROS2, OpenCV, ITK/VTK
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strategies such as near-patient testing and self-testing may be valuable tools in expanding the uptake of testing. Objectives To evaluate the sensitivity and specificity of new syphilis serological tests
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2030. Objectives To describe the outcomes of people not engaged in care and people re-engaged in care. To review the costs to services of people not retained in care To make estimates of the cost
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the Netherlands’ national bird, the black-tailed godwit. Join our team! We seek a quantitative, ecology-minded PhD candidate to expand our state-of-the-art Bayesian Integrated Population Model (IPM