EIT Urban Mobility: Doctoral Training Network

Imagem ilustrativa do programa, acompanhada do texto "Solving the mobility challenges facing our cities together"
Imagem disponível em https://www.eiturbanmobility.eu/

Candidaturas até 30 de novembro de 2020.

Os alunos da Universidade de Lisboa têm a oportunidade de concorrer ao Doctoral Training Network, sendo um programa de doutoramento exclusivo às Universidades Core Partners do EIT Urban Mobility.

Os alunos admitidos têm a oportunidade de realizar um intercâmbio internacional com uma duração de 4 a 6 meses, numa das Universidades do EIT Urban Mobility, podendo este intercâmbio ser dividido em duas instituições.

Universidades Core Parterns do EIT Urban Mobility: Aalto University, Finlândia; BME - Budapest University of Technology and Economics, Hungria; CTU - Czech Technical University in Prague, Republica Checa; DTU - Technical University of Denmark, Dinamarca; Eindhoven University of Technology - TU/e; Paises Baixos; EPFL - École Polytechnique Fédérale de Lausanne; Suiça; Ghent University; Bélgica; KTH - Royal Institute of Technology; Suécia; NFF TU Braunschweig; Alemanha; Technion - Israel Institute of Technology, Israel; TUM - Technische Universität München; Alemanha; UCL - University College London; Reino Unido; University of Tartu, Estónia; UPC - Universitat Politècnica de Catalunya, Espanha.

A mostly practical course, offering an overview on different community ecology and macroecological methods and software.

Logótipo da conferência, sobre um fundo branco

THE meeting place for Mobility Management practitioners and experts all over Europe.

This course introduces the field of island biogeography, a discipline that has long influenced other research areas such as macroecology, community ecology, evolution and conservation biology, covering its main aspects.

An overview of the different ways to measure biodiversity, and provides tips for the stratification of primary biodiversity data and the construction of variables that describe its various facets.

This course aims at enabling the participants to use different methods to measure the impacts of pollutants on ecosystems.

How to predict the three-dimensional structure of nucleic acid and proteins from their sequence and use the acquired knowledge to improve or create new methodologies in molecular biology research and diagnostics?

Representação da cidade de Lisboa, acompanhada do título da conferência

The 22nd in the series of triennial conferences which bring together the Particle and Nuclear Physics communities.

Logótipo do evento, sobre um fundo branco

Welcome to an unique silicon for photovoltaics event in Lisbon!

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