Portal de Oportunidades de Pesquisa – POP – Propesq

Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: To attain unprecedented accuracy and efficiency in modelling fibre suspension flows for forming applications and connect the results to structural simulations of the formed networks and composites. We will do it by engaging isogeometric analysis in modelling fibres and fibre interactions.

Inscrições: até 9 de agosto de 2021

Local: Suécia

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: To develop nanomaterials for adsorption-enhanced recovery of critical metals during waste recycling. The project includes collaboration with Norwegian partners, such as University of Bergen and the industrial advisor Glencore Nikkelverk, and international partners: Spain (BCMaterials), Sweden (Chalmers University of Technology), and Greece (University of Ioannina).

Inscrições: até 01 de agosto de 2021

Local: Noruega

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: The postdoc fellow will be working on dynamics of quantum chaos and contribute to a project funded by the John Templeton Foundation.

Inscrições: até 31 de julho de 2021

Local: Luxemburgo

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: To experimentally investigate the electrical charging of nanoparticles in nonpolar solvents and to show how it can be harnessed for advanced materials and technologies. You will work closely together with another postdoctoral researcher and one doctoral student active in the same research theme with complementary skills to yours.

Inscrições: até 31 de julho de 2021

Local: Finlândia

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: The project aims at active control of spin waves in nanoscale magnonics, which is relevant for the development of energy-efficient analog computing devices. The project is mostly experimental (high-quality thin-film growth, lithography, high-frequency electronic and magneto-optical characterization) but also includes complementary modeling (micromagnetic simulations, plane-wave method calculations, electromagnetic simulations of high-frequency electronic components).

Inscrições: até 31 de julho de 2021

Local: Finlândia

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Grande área: Exatas e da Terra

Tipo de oportunidade: Pós-graduação

Objetivo: The CP3 offers an excellent research environment, a friendly work atmosphere and opportunities to collaborate with scientists at many other universities in Belgium and abroad. Theoretical research directions include Cosmology and General Relativity, Data analysis in HEP and GW experiments, Phenomenology of elementary particles and Theories of the fundamental interactions.

Inscrições: até 31 de julho de 2021

Local: França

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: To get a better understanding of the conditions enhancing such a brittleness by evaluating the segregation state in a 3rd generation steel and more specifically 1) to determine the segregation kinetics at various temperatures and 2) to better understand the interaction of segregation with phase transformations.

Inscrições: até 31 de julho de 2021

Local: França

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: To sustain the simulation activity of tokamak plasmas. This job is dedicated to the development and the optimization of a new hybridizable discontinous Galerkin solver which has been recently implemented in the code SOLEDGE2D-HDG (Giorgiani et al. JCP (submitted)), part of our well-referenced numerical fluid platform SOLEDGE2D-EIRENE (Bufferand et al. Nuc. Fus. 2015).

Inscrições: até 31 de julho de 2021

Local: França

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Grande área: Saúde

Tipo de oportunidade: Apoio Financeiro

Objetivo: The purpose of this funding opportunity announcement (FOA) is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA supports fundamental genomics research developing innovative analytical methodologies and approaches, early stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community. Work supported under this FOA should be enabling for genomics and be generalizable or broadly applicable across diseases and biological systems. All applications should address how the methods would scale to address larger and larger data sets.

Inscrições: até 08 de setembro de 2021

Local: Estados Unidos

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Grande área: Saúde

Tipo de oportunidade: Apoio Financeiro

Objetivo: The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. The scope of NLM’s interest in these research domains is broad, with emphasis on new methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, reusable approaches to discovery, curation, analysis, organization and management of health-related digital objects. Biomedical informatics and data science draw upon many fields, including mathematics, statistics, information science, computer science and engineering, and social/behavioral sciences. Application domains include health care delivery, basic biomedical research, clinical and translational research, precision medicine, public health, biosurveillance, health information management in disasters, and similar areas. NLM defines biomedical informatics as the science of optimal representation, organization, management, integration and presentation of information relevant to human health and biology. NIH defines data science as the interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are developed and used to extract knowledge and insights from increasingly large and/or complex sets of data.

Inscrições: até 08 de setembro de 2021

Local: Estados Unidos

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