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Field
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enhanced interference resilience against different interfering systems. Develop, with colleagues, a spectrum sharing database for use by the JOINER community and design and develop models using AI/ML and
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Products Development and Regulation Clinical Study Operations (GCP's) Study and Site Management Data Management and Informatics Leadership and Professionalism Communication and Teamwork Key job
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project to reveal the interaction of galaxies and their cosmic web environment with hydrodynamic simulations based on our new SWIFT code and COLIBRE, a novel state-of-the-art galaxy formation model. You
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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standards, development of research protocols, and coordination of multiple research projects. Assists with the instruction and training of students, fellows, residents, and research assistants.in laboratory
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Associate/Research Fellow with expertise in Artificial Intelligence (AI)/Machine Learning (ML), pedagogical research in Institutes of Higher Learning (IHLs), and web/mobile application development (both
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research and real-world impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on
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facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and live in Finland. For more on the University
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supportive, positive and accountable. Our research is ambitious, high quality, and communicative. We place a strong emphasis on scientific productivity and career development, and we value a healthy work-life
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proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with