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into an independent scientist and leader. The Genentech Postdoc Program provides access to world-class seminars, professional development workshops, and networking opportunities. Apply now to Genentech Postdoctoral
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that are aligned with the University’s research focus areas. You will embed your research expertise into the life of the School through the development of high-quality, productivity-driven research networks across
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in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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individuals so they can thrive in their careers through a range of supportive initiatives, including leadership training, mentorship for early career progression and promotion, networking opportunities, and
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of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position
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with experience in one or more of the following areas: human genetics, computational neuroscience, multi-omics data analysis including RNA-Seq, and systems biology/network analysis. Strong data science
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, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches
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Research Fellow available in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as possible and upon individual agreement
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. Alongside their research, Fellows engage in a series of leadership development activities, gain an in-depth understanding of the U.S. health care system and policy landscape, and build a robust network for