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multiomics and designed a targeted intervention to elicit such potential (Llorens-Bobadilla et al. Science 2020). In parallel, we also develop novel technologies for spatially-resolved multiomics (Llorens
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? parallel computing, resource allocation, multiple threads, etc. Proficiency in configuring jobs for a parallel environment, specifically allocating adequate memory and nodes to meet specific time/budget. In
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others. Ability to coordinate with faculty, graduate and undergraduate students, and external collaborators. Preferred Qualifications: Strong background in parallel computing, parallel application design
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together the parallel efforts of 4 climate modeling centers, including IPSL. The successful candidate will be responsible for integrating, evaluating, and testing new parameterizations of air–sea carbon
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to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
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develop and compare ex vivo model systems derived directly from patient tumor tissue and blood. These models will be evaluated in parallel with an upcoming clinical trial at our department testing
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be controlled, measured, and related to the thermal and mechanical properties of the foams. Several formulations and systems will be studied in parallel to shed light on these three issues
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deployment of production systems (products). Experience with systems operations and functions, to include data analysis/statistics, networking, and data security: Systems of systems, mesh processing, parallel
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complex dynamics. In parallel, collective decision-making mechanisms (e.g., opinion dynamics) will be leveraged at the high level to coordinate the desired behaviours of multi-agent systems in response
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for Regional Environmental Nitrogen Measurements (Onderzoeksprogramma Regionale Omgevingsmetingen Stikstof, OROS) is essential, as there are clear parallel questions. The project provides strong support for your