Phd Student in Computational Analysis of The

hace 1 mes


Barcelona, España Somm Excellence Alliance A tiempo completo

Context And Mission

Key Duties
- Development of new and use of existing single-cell analysis pipelines.
- Use AI predictive computational methods to build models that capture complex developmental processes.
- Use the group’s modelling framework based on Boolean and agent-driven systems.
- Integration of heterogeneous data sources using advanced data mining techniques.
- Preparation and presentation of scientific articles.
- Collaborate in the preparation and presentation of scientific projects.
- Establish and maintain collaborations with international researchers.

**Requirements**:
Education
- BSc in biology, biotechnology or a degree in science or engineering with sufficient knowledge and interest in biology.
- MSc in bioinformatics, computational biology or similar.

Essential Knowledge and Professional Experience
- Developmental biology: signalling pathways, heterogeneity, self-organisation, patterning.
- Computational biology: data analysis, data integration, modelling.

Additional Knowledge and Professional Experience
- Knowledge and experience in life sciences research.
- Knowledge and some experience in AI methodologies.
- Programming: Python (scikit-learn, numpy, matplotlib), R, C, C++, Git.
- Fluency in spoken and written English.

Competences
- Good communication and presentation skills.
- Ability to work both independently and within a team.

Conditions
- The position will be located at BSC within the Life Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Predoctoral contract
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Starting date: asap

**Deadline**: July 31, 2023
**Job category**: PhD Student
**Area**: Maths, Experimental Sciences and Engineering



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