Phd Student: Computational Models of - Barcelona, España - Somm Excellence Alliance
Descripción
The Institute
The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries.
The CRG is composed by an interdisciplinary, motivated and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies.
The role
We are looking for an enthusiastic and motivated PhD student who will work on models of variation in evolving populations.
About the research team
Whom would we like to hire?
Education and training
Languages
Technical skills
- Programming skills, ideally in Python. Experience with computer clusters (shell scripting) are a plus, but not required.
- Experience in computational modelling, ideally a "bottomup" approach of building models and running simulations, rather than a "topdown" approach of using code for data analysis.
- Proven analytic and quantitative skills, and the ability and motivation to acquire new knowledge (both biological and mathematical/computational).
- Organised, structured, selfmotivated and conscientious working style.
- Ability to communicate results in a clear and structured way, in presentations and in writing.
- Excellent interpersonal and communication skills, and the ability to function as part of a team.
- Motivation to work in an interdisciplinary environment.
- Contract duration: 4 years
- Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales
- Target start date: ideally October 2023
We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.
The CRG is committed to reconcile a work and family life of its employees and are offering extended vacation period and the possibility to benefit from flexible working hours.
- A motivation letter addressed to Dr Nora Martin
- A complete CV including contact details
- University transcripts (Bachelor & master's degree)
- Contact details of two referees
Deadline:
July 31, 2023
Job category:
PhD Student
Area:
Life Sciences
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