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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
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.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
The successful candidates will complete a PhD in Computer Science in about 3.5 years, which will address developing and applying sophisticated machine learning and network science models and algorithms. The algorithms will be carefully tuned to extract relevant biological and medical knowledge from systems-level real-world molecular and medical data. The aim is to utilize them to understand the structure of the data that would enable mining the data for new biological and medical insight that would further lead to improving diagnostics, discovering new biomarkers, improving patient stratification and treatment, personalizing treatment and facilitating rational drug development. The successful candidates will join a dynamic research group of Prof. Przulj within BSC. The students will work in a highly sophisticated HPC environment, will have access to systems and computational infrastructures, and will establish collaborations with experts in different areas.
- Complete a PhD in computational biology
- Collaborate with various research groups across Europe and elsewhere
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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)
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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
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Additional Knowledge and Professional Experience
- Fluency in spoken and written English
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Competences
- Good communication skills
- Ability to work in a professional environment within a multidisciplinary and international team
- 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 - 3.5 years
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: asap
All applications must be made through the BSC website including:
1. A full CV including contact details.
2. Academic transcripts from Undergraduate and MSc.
3. Three letters of recommendation. The references should send their letters to laurentino [dot] quiroga [at] bsc [dot] es in copy along with the application and before the deadline.
4. A statement of motivation and research interests including the following information:
- Research background,
- On explanation of why someone is interested in our group,
- What research see you doing in our group and how your background is relevant to be successful.
5. It only be consider applicants that submit all the requested documentation (CV, cover letter, transcripts and references)
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.
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This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.