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to the fundamentals and algorithms of spatially and time-multiplexed oscillator-network computing. Duties The PhD student will focus on the fundamentals and algorithms for spatially and time-multiplexed oscillator
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
of Porto, at Salomé Pinho´s lab. Scientific Area: Immunology, Biochemistry, Glycobiology, Carbohydrates, Biophysics 1. Project summary and work plan GLYCOCALYX (https://www.glycocalyx.org/ ) brings together
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- research experience in the evaluation of global wave reanalysis and integration of topographic and bathymetric datasets, as well as experience in the implementation of XBeach and SWaN models. Preferential
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University, University of British Columbia, Université du Québec à Trois-Rivières, and Yukon University, supported by the Canada First Research Excellence Fund. More information on: https://www.uvic.ca/acet
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matière, sont de très bons traceurs de la distribution de matière de l'Univers et sont une précieuse source d'information pour la Cosmologie. La sensibilité de la mission spatiale Euclid lancée en 2023
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on firm dynamics, structural transformation, economic growth, spatial economics. The appointment is for 3 years and will begin September 1, 2026, subject to final budget approval and UAE visa acquisition by
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and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing
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analysis, and spatial -omics. An ability to learn new skills, take initiative, attention to detail, and conceptualize data is essential. More details of the Foltz lab can be found here: https://jfoltzlab.org
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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. Special priority will be given to candidates that study cellular and molecular processes using high-dimensional biological data such as single-cell or spatial omics, structural data, advanced microscopy