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- Institut de Físiques d'Altes Energies (IFAE)
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the interplay between mutations, energetics, and evolutionary constraints, including epistatic effects. · Developing or applying machine learning approaches to predict or redesign frustration patterns in proteins
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the neurovascular space. Knowledge of neurovascular anatomy, acute stroke, endovascular treatments, neuroendovascular devices for the treatment of stroke. Ability to generate machine learning analysis of medical
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will design and perform real-time in-situ TEM experiments using gas and liquid sample environments, enabling the observation of materials under conditions that mimic actual operating environments
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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understanding, capabilities and innovation, while inspiring and providing broad training to the next generations of researchers. Our values are Commitment, Collaboration and Transformation. Our research lines
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methods, with demonstrated ability to implement causal identification strategies (difference-in-differences, instrumental variables, regression discontinuity, quasi-experimental designs). Proven experience
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opportunities for future medical scientists. We are committed to a science-centered framework to promote innovation in research and education through a variety of novel funding mechanisms. In the heart of Beijing
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promotes and develops biomedical research, innovation and teaching at Vall d’Hebron University Hospital (HUVH), the largest hospital in Barcelona and the largest within the Catalan Institute of Health (ICS
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expertise in machine learning or computational modelling who are eager to advance conceptual innovation toward practical industrial deployment. Qualifications PhD in Computer Science, Machine Learning
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infrastructures. Opportunity to gain experience learning first-hand. Personal growth, innovation, and learning every day. Sending applications implies the candidate’s consent to IFAE to treat their provided