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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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to candidates having a strong record in developing novel computational strategies to solve complex physics problems with relevant experience in nonlinear analysis of pdes and parallel computation. FLSA Exempt
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization
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common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel programming with one or more common parallel programming models, like MPI
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modeling with an understanding of numerical methods and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific
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, rheology, parallel computing and strong analytical skills. PREFERRED: Familiarity with electrolytes; or experience with AI-based chemical discovery. Research scientist position will be offered
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parallel device biofilm biorepository program — explanted device biofilm characterization, quantification and sequencing (16S rRNA, fungal ITS) — with opportunities to apply quantitative/computational
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implementation in FEniCS/FEniCSx/ABAQUS UEL,UMAT. Strong publication record in mechanics, materials, applied mathematics, or related journals. Proficiency with HPC, parallel solvers (PETSc), and version control
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close