35 algorithm-"Multiple"-"U" "NTNU Norwegian University of Science and Technology" Postdoctoral positions in Netherlands
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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). Has experience in extracting structured information from unstructured documents. Hhas experience working with text in multiple languages. Is committed to Open Source and Open Science practices. Has
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to explore new unstructured data and methods Strong attention to detail with good organization skills; ability to manage multiple, concurrent tasks Evidence of engagement in high-quality research activity
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the cancer more effectively. In multiple studies, this therapy has demonstrated impressive results after only 4 to 6 weeks of treatment, leading to improved patient survival without recurrence of the cancer
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genuine interest in both fundamental and applied research. The ideal candidate is flexible, self-motivated, and has a collaborative mindset. You will be closely working with experts across multiple
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to derive overarching scaling principles that apply across multiple disciplines, including hydrology, socioeconomics, toxicology and ecology. To achieve this, you will collect data from databases, reviews
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profile, experience and research proposal. Planning and autonomy: The objective is to study the state of the art of planning algorithms that would support onboard autonomous operations of a rover system on
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. Explore options for high level assessment of environmental and social impacts of individual CCUS projects. Conduct multiple CCUS exemplary case studies in the Netherlands and support project partners in
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going to do Analyze a uniquely extensive neuroimaging dataset (90 minutes of functional MRI per participant across multiple sessions and conditions, detailed structural and diffusion-weighted data