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or laboratory. Fulfill other tasks assigned by the PI as required. The specific postdoctoral fellows are determined by the research groups in the laboratory—scan the QR code above for details. Qualifications
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discipline Good written and oral communication skills Strong analytical and problem-solving skills with the ability to work independently Experience in common computational chemistry software and coding
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accuracy, violation detection, hosting-capacity error and computational speed-up. Consolidate the code, results and technical documentation.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 9 days ago
the Portuguese Administrative Procedure Code. If the selected candidate declines the fellowship, it may be awarded to the next candidate in the final ranking. Application Deadline Applications are open from 22
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notified to the applicants. The candidates are informed, in a prior hearing, under the terms established in the Code of Administrative Procedure, of the probable meaning of the final decision, and may
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 9 days ago
accordance with the Portuguese Administrative Procedure Code. If the selected candidate declines the fellowship, it may be awarded to the next candidate in the final ranking. Application Deadline Applications
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-NEA-2026-0381 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2026-0383 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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genetics/genomics. More about the position The project aims to develop novel computational methods and tools for predicting functional non-coding mutations in the cancer genome. These methods will integrate
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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models