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strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives
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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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team that investigates the the genetic and molecular mechanisms of addiction in a multi-disciplinary approach including genetics, behavior, circuit analysis, imaging, hi-throughput genomics, and
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
and cell culture techniques are desired. The candidate is expected to work closely with an interdisciplinary research team and must be motivated to acquire new experimental skills. PROJECT DESCRIPTION
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International Max Planck Research School for Molecules of Life (IMPRS-ML) | Germany | about 2 months ago
facilities to doctoral researchers aiming for successful careers in science. Our comprehensive curriculum allows our students to tailor their learning to their interests, requiring them to earn 25 ECTS through
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focus. Example learning problems include exposome and dynamic exposome modeling, learning in timeseries and spatial data, and hybrid deep learning-causal modeling. The successful applicant should have
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writing skills. o Proactive mindset and ability to work in a multidisciplinary and collaborative environment. o Adaptability and openness to learn new tools and methods. Language skills
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Code, as published in Decree-Law No. 4/2015, of January 7th, in its current version (CPA). IV. Work plan The researcher will participate in the development of behavioural, molecular biology, genetics
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services for robotics-based CPS. Contributing to the development of the proactive learning engine. Designing and testing a Smart Robotic Care Home demonstrator. Evaluating trust, transparency, and usability
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ability to work with multi-disciplinary teams with particular emphasis on engineers, neurosurgeons, and clinical staff. - Desire to learn and grow professionally Assignment Category: Full-time