03/05/2021
Marie Skłodowska-Curie Actions

MSCA-PF: Joint application at the University of Granada. Department of Signal Theory, Networking and Communication

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  • OFFER DEADLINE
    31/08/2021 13:00 - Europe/Brussels
  • EU RESEARCH FRAMEWORK PROGRAMME
    HE / MSCA
  • LOCATION
    Spain, Granada
  • ORGANISATION/COMPANY
    International Research Projects Office
  • DEPARTMENT
    Promotion and Advisory Unit
  • LABORATORY
    NA

Professor José Camacho Páez from the Department of Signal Theory, Networking and Communication at the University of Granada, welcomes postdoctoral candidates interested in applying for a Marie Skłodowska-Curie Postdoctoral Fellowships (MSCA-PF) in 2021 at this University. Please note that applicants must comply with the Mobility Rule (more information about the 2020 call: http://sl.ugr.es/0aNV, the 2021 call is not yet open).

Brief description of the institution:

The University of Granada (UGR), founded in 1531, is one of the largest and most important universities in Spain. With over 60.000 undergraduate and postgraduate students and 6.000 staff. UGR offers a total of 89 degrees, 110 master’s degrees and 28 doctoral programmes through its 123 departments and 27 centers. Consequently, the UGR offers one of the most extensive and diverse ranges of higher education programmes in Spain.

The UGR has awarded with the "Human Resources Excellence in Research (HRS4R)", which reflects the UGR’s commitment to continuously improve its human resource policies in line with the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers. UGR is also a leading institution in research, located in the top of Spanish universities by a variety of ranking criteria, such as national R&D projects, fellowships awarded, publications, or international funding. UGR is one of the few Spanish Universities listed in the Shanghai Top 500 ranking - Academic Ranking of World Universities (ARWU) (http://sl.ugr.es/0bsW). The UGR is amongst the 201-300 first universities of the world, between 2nd-5th position of Spanish universities and number 1 in the Andalusian Region in the Shanghai Top 500 ranking. Specialties at UGR that stand out are Library & Information Science (position 32) and Food Science & Technology (position 36). Moreover, the UGR is also situated amongst the first 100 universities in Mining & Mineral Engineering between (76th-100th position), in Mathematics (between 76th-100th position) and in Hospitality & Tourism Management (between 76th-100th position). The edition of the ARWU places the UGR in 201-300th position in the world and as the 4th highest ranked University in Spain, reaffirming its position as an institution at the forefront of national and international research.

Additionally, the UGR has 8 researchers at the top of the Highly Cited Researchers (HCR) list in Computer Sciences & Engineering (position 101-150). It is also well recognized for its web presence (http://sl.ugr.es/0a6i), being positioned at 43th place in the top 200 Universities in Europe.

Internationally, we bet decidedly by our participation in the calls of the Framework Programme of the European Union. For the duration of the last two Framework Programmes, the UGR has obtained a total of 67 projects, with total funding of 18.029 million euros, and for H2020, 118 projects with total funding around 29.115 million euros.

Brief description of the Centre/Research Group:

The UGR group has a dilated experience in the study of metabolic and genetic factors in different metabolic diseases such as obesity and cardiovascular disease, using cutting-edge techniques, among which OMICs (genomics to metabolomics) have a central position, and also in recruiting participants from primary attention care-centres and hospitals. The group includes experts in multivariate analysis and biostatistics and their application to real problems of optimization, machine learning and data analysis, including the processing of medical data. The research group has also developed the Multivariate Exploratory Data Analysis (MEDA) Toolbox in Matlab, https://github.com/josecamachop/MEDA-Toolbox, a set of multivariate analysis tools for the exploration of complex and Big Data sets. The MEDA Toolbox includes traditional exploratory plots based on Principal Component Analysis (PCA) or Partial Least Squares (PLS) with new methods specially designed for OMICs data analysis and extensions to Big Data.

Project description:

Europe, like the rest of the developed world, is experiencing a rapid ageing of the population that is challenging the sustainability of national health care systems and, consequently, the quality of health care services for individuals. Along with this trend, we have recently learned, in the hardest possible way, how pandemic outbreaks can put our health care systems under unprecedented and unpredictable stress. To face these challenges, new and innovative strategies based on Information and Communication Technologies are urgently needed to reduce medical costs, by enhancing our capabilities to detect health problems in advance and devise suitable treatments and therapies with efficiency and accuracy.

The goal of the project is to demonstrate the beneficial effects of the combination of comprehensive e-Health monitoring (eHM) with the cutting-edge approaches in precision medicine (PM), where:

  • e-Health refers to health services delivered or enhanced through the Internet and related technologies. In particular, we call eHM the use of electronic devices with communication capabilities, like smartphones, certified medical devices or activity trackers, to monitor the health status of individuals.
  • PM refers to an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment and lifestyle for each person.

So far, these two paradigms have been researched separately in a high number of projects worldwide. The goal of this project is to combine data from both of them, and develop new techniques to make the most of this data, mainly with a focus on biostatistics and multivariate analysis extensions to Big Data.

Research Area:

  • Information Science and Engineering (ENG)

  • Life Sciences (LIFE)

For a correct evaluation of your candidature, please send the documents below to Professor José Camacho Páez (josecamacho@ugr.es):

  • CV
  • Letter of recommendation (optional)

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