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project TAILOR – Network of Research Excellence Centres for Foundations of Trustworthy AI (2020-2024) , and EU project HiPEAC – Network of Excellence on High Performance, Edge And Cloud computing (2015-now
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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skills. Experience with cloud computing and big data analytics platforms. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID: 23791 Apply now
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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sensing. Familiarity with High-Performance Computing (HPC) and/or Cloud computing (openEO) Why Join Us? Work on high-stakes climate research projects with global impact. Access to state-of-the-art EO data
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machine-learning tools. Data analyzed include precursors such as volatile organic compounds, aerosol number and mass concentrations, chemistry, biological particles, cloud and ice condensation nuclei, light
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, high-dimensional modeling, or cloud/high-performance computing Experience (training acceptable) with one or more of the following: Genome-wide association studies (GWAS) Genotype imputation Fine-mapping
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This