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translational health sciences. Position Overview UTA is launching a transformative, interdisciplinary cluster hire in AI-enabled precision medicine within UTA’s Center for Innovation in Health Informatics. This
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) ● Experience working in Linux-based high-performance computing environments. ● Experience with parallel programming models, such as MPI, OpenMP, CUDA, or related technologies. ● Experience compiling
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Deadline 21 Apr 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Date 1 May 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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and computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based
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functional genomics, human genetics, and in vivo experimental systems to understand enhancer function across regulatory and phenotypic scales. We develop and apply both experimental and computational
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health. Conduct a human intervention study to assess the efficacy of a very long chain polyunsaturated fatty acid supplement on signs and symptoms of dry eye. Methods to be used: A parallel randomized
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to be used: A parallel randomized controlled human intervention study will be conducted in adults (18-65 yrs). Participants will be randomly allocated to one of three intervention groups: (I) Omega-3
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computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance
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– Documented experience in large-scale data management, high-performance computing systems, GPU acceleration, and parallel file systems – Ability to communicate fluently in English, both spoken and written