The Bioinformatics Area of the Andalusian Public Progress and Health Foundation, located in The Hospital Virgen del Rocío, Sevilla (Spain), is looking for excellent researchers from any nationality and with leadership capacity within the call for human resources Emergia Program from the Andalusian Regional Ministry of Economy, Knowledge and Business, that closes by 11 August 2020.
The budget of Emergia Program is 10.3 million euros to atract international research talent to Andalusian research centres. The first call of this Program will offer 40 grants to hire researchers with the next conditions:
- Minimum gross salary of 35,000 € per year, which may be increased if the host research centre agrees with a higher remuneration.
-Additional funding of up to 160,000 €, to carry out the project and to set up their research team.
The requirements and characteristics of host groups are detailed below.
The deadline for this call is 11th August.
Those interested can contact with the head researcher of the host group by email attaching update CV and a cover letter, preferably before the end of July 2020.
To participate in the Program is necessary to hold a PhD since a minimum of five years and a maximum of twelve between obtaining the doctorate and the date of call.
Information on host group:
Main researcher of the project: Joaquín Dopazo.
Research line in which the candidate will work:
Machine learning applications in health
Summary of research line:
The Andalusian Health System possess one of the biggest resources of clinical data, the Andalusian Health Population Database , which contains comprehensive health records, as well as socioeconomic data, on more than 12.5 million users of the health system, recorded since 2001. Currently, different types of studies are ongoing, including multiple prognostic predictors, synthetic patient data generation, data augmentation, disease trajectories, etc.
Additionally, new data are staring to be included in the BPS, such as medical image data and genomic data. Also, the Area has an intense activity in machine learning applications in genomic data , with especial focus on the Systems Biology perspective .
Therefore, we are interested in projects that apply machine learning to clinical data, to genomic data or, preferably, both.
Profile of the desired candidate:
• Strong background in one of the following areas: mathematics, biology, computation or some related topic.
• Machine learning / Deep Learning background
• Programming skills in data science (familiar with one or several of PyTorch, SparkML, MLlib, Weka, scikit-learn, TensorFlow, etc.)
• Bioinformatic background (including programming skills in R/Bioconductor)
• Background in genetics and genomics.
• Work experience in hospital environments.
More information about the research group here: http://www.clinbioinfosspa.es/
Main researcher contact: email@example.com
More information about the call here (page in Spanish and accessible from internet explorer)