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systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and
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management, intermediate representations, or execution orchestration for quantum or heterogeneous computing platforms. Experience with heterogeneous and parallel computing technologies, programming
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mechanics, friction laws, and nonlinear material behavior. Proficiency in C/C++ programming language. Experience working in Linux-based high-performance computing environments. Record of publishing peer
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closely related field. Documented experience in energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python
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, and international collaborators. The work will involve large 3D datasets and reproducible computational workflows, including scripted quality control and, when appropriate, parallel processing on high
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Python programming skills to implement and prototype research ideas. • A solid mathematical foundation to support the design and analysis of algorithms and systems. • Curiosity, motivation, and the
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parallel. Active participation in other ongoing projects in the lab and clear communication of research findings to both specialized and general audiences are expected. Additional responsibilities include
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and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the
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filtering, and refinement, and work closely with experimental collaborators to translate designs into functional ligands through synthesis, pharmacology, and in vivo validation. In parallel, you will extend
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programming skills, for example in Python or MATLAB. A documented publication record relative to career stage. The ability to work independently and to collaborate in an interdisciplinary team