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Job offer published date: 30/11/2022
Data de publicació:
Wednesday, 30 November 2022 - 12:00am
Sol·licitant:

Fundació IMIM

Requisits:
  • Students graduated in Statistics, Mathematics, Physics, Biology, Biotechnology, Biomedical engineering or related
  • Having completed a PhD in Statistics or similar.
  • Experience in prediction models and / or data mining.
Es valorarà:
  • Proactive attitude to solve to solve problems and develop new ideas.
  • Ability to pay attention to detail, teamwork and a high level of empathy.
Funcions:

The candidate will be part of the project led by Dr. Joan Carles Monllau and Dr. Jordi Monfort, heads of the Traumatology and Orthopaedic Surgery Service and the Rheumatology Service, respectively, of the Hospital del Mar.

The project has received funding from the State Research Agency (Ministerio de Cienca e Investigación) within the 2022 call "Proyectos I+D+i de Generación de Conocimiento" and it is entitled "Descripción de fenotipos de artrosis de rodilla basándose en datos clínicos, de imagen y de laboratorio". The candidate will be involved in addressing the main objectives of the project:

  1. Corroborate the results previously obtained in a self-cohort validation, as well as in a national (SIDIAP) and international (MOST) cohort, and
  2. Integrate the results obtained to describe phenotypes of patients with knee osteoarthritis that allows better monitoring and treatment of patients.

More specifically, their tasks will focus on:

  • Development of machine learning and deep learning algorithms applied to the description of phenotypes of patients with osteoarthritis of the knee
  • Design of prediction models applied to disease progression
  • Supervision of the data mining carried out by the students.
Contracte:

Indefinite contract (scientific-technical)

Full-time

Durada:

18 months (extendable to indefinite contract)

Salari brut (anual):

33000€

Contacte:

Those interested in this offer must apply via e-mail to ltio@imim.es indicating the job reference in the subject. The application must include:

  • A cover letter with a brief description of the scientific and academic achievements accomplished.
  • A recent resume.
  • Two letters of recommendation or 2 work/academic references (with full address, e-mail and work telephone number).

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Fellowship published date: 17/6/2022
Fecha de publicación:
Friday, 17 June 2022 - 12:00am
Solicitante:

UC3M-Santander Big Data Institute (IBiDat) (www.ibidat.es)

,

The UC3M-Santander Big Data Institute (IBiDat) (www.ibidat.es) is a joint initiative by Universidad Carlos III de Madrid and Banco Santander. It was founded in 2015 and it has rapidly become an institution of reference in the area of Big Data Analytics in Spain. IBiDat’s goal is to apply cutting-edge research to solve industry problems, participate in research and innovation projects funded by different national, European and international agencies and develop specific industry-based training and teaching activities in the area of Big Data Analytics.

The Institute counts with a team of 6 full-time outstanding researchers as well as more than 40 fellow affiliated researchers from multiple disciplines: statistics, economics, finance, computer science, engineering, etc.

IBiDat is located in Madrid, one of the most livable and enjoyable cities in Europe that offers an exceptional offer of recreational activities.

As a high quality research institute, the Postdocs in IBiDat should be capable of performing those tasks expected from an early career faculty in academia adapted to the institute’s focus on R&D applied to industry challenges. This offers our Postdocs a twofold career development in both academia and industry towards his/her next professional step.

Requisitos:
  • A PhD degree in Statistics, Mathematics, Computer Science, Engineering or related fields on the starting date.
  • Experience in R&D projects with companies or from public funding programs.
  • Good publication record in top journals and/or conferences in the discipline of the candidate.
  • Technical Skills:
    • Strong analytical and modelling skills
    • Web Programming skills
    • Knowledge of Data Analysis Programming Languages: R, Python and/or Spark.
    • Knowledge of DataBases: MySQL, MongoDB, etc.
    • Knowledge of Machine Learning Algorithms.
  • Capacity to work both individually and as part of a team.
  • Good communication skills.

If you do not meet some of these requirements we strongly recommend you to still apply since our goal is hiring talented people who will be able to rapidly learn new skills

Se valorará:
Funciones:

Position Overview

The main tasks performed by IBiDat Postdocs include:

  • Lead and participate in R&D projects with private companies.
  • Lead and participate in proposal preparation for competitive public and private funding programs such as: EU programs (Horizon Europe), National and Regional Research Programs and Private Companies Research Programs.
  • Preparation and participation in Big Data and Machine Learning courses and masters.
  • Conduct high quality research that leads to publications in top venues (journals and conferences).
Contrato:

Conditions

  • Salary: 32,000 €/ year.
    • Extra economic compensation might be possible through the participation in projects and/or teaching activities of the Institute.
  • Duration: 2 years (1+1). The continuation for the second year (upon available funding) will be confirmed through a performance assessment of the first year.
    • Extension further than 2 years could be possible, subject to funding availability and performance criteria.
  • Tentative Starting Date: September 2022.
Duración:

2 years

Salario bruto (anual):

32,000 €/ year

Contacto:

Application Instructions

  • Interested candidates should send by email:
  • A statement of interest including the objectives to be achieved in the position.
  • A curriculum vitae (with picture included).
  • Two letters of reference.

DEADLINE for applications: July 10th, 2022.

All the candidate’s information must be sent to:

Begoña Corraleche Quincoces
Office 18.2.D26 Phone: +34 91 624 85 14
Email: mcorrale@inst.uc3m.es

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