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-building postgraduate conference with participation from across the pathway. Options for specialist training include GIS and spatial data analysis, advanced quantitative research in SPSS, transport modelling
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challenges at the intersection of AI and cybersecurity, aiming to enhance model integrity, data privacy, and resilience to adversarial attacks. The research will explore methods to secure AI systems in real
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, genetic models of disease, and advanced therapeutics. This permanent full-time faculty position will be housed at the SickKids Research Institute, located in the heart of downtown Toronto. SickKids is fully
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hold a PhD or MSc in Systems Biology, Biostatistics, Physics, Mathematics or a related subject. Experience with mathematical modelling of biological systems and the ability to effectively use statistical
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, or Diffusion Models, is also a plus. The position includes a competitive salary, research/travel funds, access to telescopes, HEP experiments and supercomputing facilities. Collaborations Synergistic activities
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the pharmacometric research group, ensuring the successful delivery of its projects and research outputs. This includes developing PK/PD models using both clinical and pre-clinical data, supporting clinical trial
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are broad, ranging from evolutionary ecology and genetics to studies of entire ecosystems. For more detailed information on our research, please see www.ieg.uu.se.  ; The position will be affiliated with
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. The three posts are: Research Associate in Computational Chemistry. You will focus on the development of computational screening methods and property prediction models using both data-driven and simulation
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from, collaborate with, support, or improve humans; Deep Learning for Perception: Use of deep learning algorithms for computer vision, image and audio processing, and models of perception. The focus is
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modelling. Furthermore, better knowledge of these properties helps refining the interpretation of data obtained from both active and passive remote sensing. PhD Topic This PhD project aims to quantitatively