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Field
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. Familiarity with high-gradient MRI systems or multi-shell diffusion modeling, and hands-on experience with neuroimaging software such as FSL, ANTs, SPM, or AFNI, will also be considered advantageous. A
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. The job also emphasizes the dissemination of knowledge about population health, particularly through the preparation of peer-reviewed manuscripts, software packages and/or participation in international
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
she must have strong proficiency in Python and/or MATLAB, R or related software for data analysis and other software for statistical and mathematical modeling with evidence of codes in public
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
Job Offer Max Planck Postdoc Positions on Artefacts for the Social Sciences The Max Planck Institute for Software Systems (Kaiserslautern and Saarbruecken), the Max Planck Institute for Security and
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software (instrumentation, automation, data pipelines). • Strong scientific rigor and commitment to high-quality research. • Availability to travel for collaboration and project activities. Where to apply E
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experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
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A solid record of relevant publications and software appropriate to their career stage For full consideration, applicants should submit via Interfolio, the following by April 20th (Earlier
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collaboratively as part of an interdisciplinary team; Outstanding written and oral communication skills Technical and scientific curiosity A solid record of relevant publications and software appropriate
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the detection of zero-day vulnerabilities, and (2) enable continuous cybersecurity assessment of software. More specifically, the project will investigate the use of multimodal large language models and fuzzing