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Computational Systems Biology Researcher
hace 3 semanas
**Context And Mission
In the Life Sciences area, we are looking for a Researcher to work in the computational systems biology approaches to simulate biological networks at different time-scales (Ponce-de-Leon et al., 2023). In particular, we are interested in the development of efficient multi-scale simulators that could leverage all the potential of parallel and distributed environments at the BSC and at other HPC centres in Europe. These agent-based tools will enable the simulation of real-sized organs with complex, heterogeneous microenvironmental architectures and will bridge from intracellular pathways to the organ-level.
The Researcher will work providing efficient HPC solutions to scale-up multi-scale simulation tools aimed at providing digital twins of patients. The specific tasks involve the development and implementation of parallel and distributed programming tools that leverage different heterogeneous HPC centres, as well as the co-design of these simulation tools to BSC’s RISC-V and other diverse architectures and accelerators.
**Key Duties
- Design and implement efficient HPC solutions to simulate multi-scale biological processes using hundreds of thousands of CPUs in BSC clusters.
- Optimize code for HPC platforms and maintain software performance.
- Co-design multi-scale simulation tools to BSC’s RISC-V and other heterogeneous architectures.
- Co-design multi-scale simulation tools to different accelerators such as GPUs, vectorisation and stencil.
- Design, implement and deploy a set of unit tests to study the scalability and efficiency of the optimised and co-designed code.
- Design and implement a CI/CD suite to test and deploy the code in several EuroHPC centres.
- Provide technical expertise in the areas of parallel computing, distributed computing, and software performance.
**Requirements
Education
- PhD in Computer Science or similar topic, with strong background on parallel and distributed computing.
Essential Knowledge and Professional Experience
- Proved experience on computer science.
- Strong background on scientific computing, scaling up of tools and performance analysis in HPC.
- Very strong programming skills, in particular on C++ and Python language.
- Administration level in Linux/Unix systems.
Additional Knowledge and Professional Experience
- Interest in computational biology and the simulation of biological processes.
- Experience in the preparation and presentation of scientific projects.
- Experience in reporting progress.
- Experience in mentoring/advising PhD students.
- Good communication skills (verbal and written) in English.
Competences
- Ability to effectively communicate technical concepts to non-experts.
- Proactive and able to take the initiative when needed.
- Creative thinking.
- Operate independently but love being part of a collaborative team.
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