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will primarily work on interdisciplinary projects to examine how computing students develop and enact ethical agency within the context of human-computer interaction (HCI) and user experience (UX) design
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
petals of roses with different petal numbers vary in shape and size. Accurately quantifying the size and shape of petals within a rose, at different growth stages, allows to study fundamental biological
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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
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delivery research, clinical practice change and mixed-method implementation science. This role provides advanced research training to support development of an independent research career. The fellow
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to develop an innovative model to estimate the direct and indirect costs of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies, integrate variables
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
. Possible tasks will be: · Assist in expanding our software simulating breeding programs in different species. · Create simulation tools (e.g. R-package) for estimating economic values. · Simulation
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the tissue. Analyzing research data using different computer software Generation of preliminary data for grant applications. Writing drafts of manuscripts. Coordinating with other investigators for lab
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how to engineer their spectral response for multiparameter sensing, guided by fundamental bounds on estimation precision, and implement advanced computational design methods to realize optimal
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., 2024). In a wider context, crack detection has received a lot of attention and, since some preliminary attempts such as DeepCrack (Liu et al., 2019), numerous methods using deep learning have been