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and outcomes of greatest scientific interest are not directly observable. These may include, for example, ability, attitudes, well-being, or different dimensions of poverty, which instead must be
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capacity to learn, web scraping and systematic web-based data collection Interest in higher education, conflict resolution, peace education, or related research Ability to work both independently and
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training compute clusters. The interconnect network based on electrical packet switches will not be able to support these requirements due to power consumption of the electrical interconnects that will
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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to cases with low signal-to-noise ratio and low-power operation. A first research direction will focus on investigating innovative energy harvesting techniques aimed at powering sensors without the use
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what motivates people, how that influences their decisions, and how this may change across adulthood. We use a wide variety of behavioral, modeling, and neuroimaging techniques. Please see https
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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that combine high efficacy with reduced adverse effects and the ability to overcome mechanisms of treatment resistance. The project aims to identify unique combinations of chemotherapeutic agents and hormone
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for sustainable transport planning. The purpose of this PhD project is to develop modelling approaches that improve the ability to analyse future desirable transport scenarios under deep uncertainty. A central
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to carry out activities related to research lines or scientific-technical services Ref. Interna VCA13-8140 Call for selection of research asistants https://sede.urjc.es/tablon-oficial IN SPANISH Where