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Mar 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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on the materials-level design of high-performance nanofiltration and reverse osmosis membranes through interfacial polymerization, charge and electrochemical modulation, and transport-mechanism-informed membrane
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ensuring access to primary samples from a diverse, nation-wide pool of patients. Our high-throughput science is enabled by state-of-the-art facilities for next-generation sequencing and high-performance
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coordinate computational modelling activities and project deliverables Develop and maintain high-throughput DFT/atomistic workflows and computational models Derive structure-property-reactivity relationships
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. Perform data management, large-scale statistical analyses, and ensure high standards of documentation and reproducibility. Work effectively with colleagues across the CTP and with local and international
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for Academic Performance . About You A PhD in spatial transcriptomics, computational biology, bioinformatics, or a related discipline, with demonstrated research experience in oncology. An emerging research
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13 Feb 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
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statistics. Software frameworks: Excellent programming skills in Python, R or similar, with experience in frameworks such as PyTorch, TensorFlow, JAX, etc. HPC & Big Data: Proficiency in high-performance
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the challenge in Computational Social Science and FinTech; (b) perform data collection and processing for the identified challenge issues; (c) conduct data analysis and design a framework for the identified