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Phd Student in Machine Learning for Biomedical Multi-omic Data Analysis in Precision Medicine
hace 3 semanas
**Job Reference**:
- 710_24_LS_ICNB_R1
**Position**:
- PhD student in Machine Learning for Biomedical Multi-Omic Data Analysis in Precision Medicine (R1)
**Closing Date**:
- Wednesday, 25 December, 2024
**Reference**: 710_24_LS_ICNB_R1
**Job title**: PhD student in Machine Learning for Biomedical Multi-Omic Data Analysis in Precision Medicine (R1)
**About BSC**
- The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
**Context And Mission**
**Key Duties**
- Complete a PhD in computational biology
- Collaborate with various research groups across Europe and elsewhere
**Requirements**:
- Education
- MSc in Computer Science, Mathematics, Physics, Bioinformatics, or a related field;
- Undergraduate degree in a quantitative discipline is required (physics, mathematics, computer science, engineering, or similar)
- Essential Knowledge and Professional Experience
- Good technical skills including at least some of the following: algorithms, data analysis, graph, network and complexity theory, scientific computing, statistics, machine learning, programming in C, C++, a scripting language and Matlab, using a parallel computing environment, bioinformatics, network biology, network medicine, network analytics, medical informatics
- Additional Knowledge and Professional Experience
- Fluency in spoken and written English
- Competences
- Good communication skills
- Ability to work in a professional environment within a multidisciplinary and international 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
**Applications procedure and process**
- A full CV in English including contact details
- A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
For more information follow this link
**Deadline**
**OTM-R principles for selection processes**
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
