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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project proposes to develop an innovative multi-scale
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites
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methods and tools for model development and evaluation. Embedded systems, real-time computing, hardware-software co-design, and hardware-oriented system design. Hardware security or cyber-physical system
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16 Mar 2026 Job Information Organisation/Company Metamind Innovations P.C. Department R&D Research Field Computer science » Computer systems Engineering » Computer engineering Technology » Computer
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Washington, D.C. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/22103428/modeler-x2f-data-scientist-i-x28-epidemiology-x29 Return to Search Results
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project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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teams. Unit URL https://imci.uidaho.edu/ Position Qualifications Required Experience Experience with statistical or predictive modeling as demonstrated by publications in the field Evidence of strong
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Programme? Not funded by a EU programme Reference Number 231 / 2026 / 1878 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your Responsibilities Participation in
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and machine learning based analyses including predictive modeling and real world evidence generation. Basic Qualifications: MS in computer science, biostatistics, biomedical informatics or related field