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active learning is desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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and writes interpretative reports. Verifies the correctness of the data and code. Organizes data and submits code and datasets to approved archives. Documents research results and takes a leading role
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 370866 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Location(s) Number of offers available1Company/InstituteCIC nanoGUNECountrySpainState/ProvinceGipuzkoaCityDonostia-San SebastiánPostal CodeE-20018StreetTolosa Hiribidea, 76Geofield Contact State/Province
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expertise with software such as CLC Genomics, Blast2GO, SnapGene, and Smartsheet, or similar software. Ability to code Flexibility in developing or adapting new workflows All positions are security-sensitive
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the PhD thesis, published papers, publicly available code (e.g. GitHub), etc. - Motivation Letter, including your earliest possible start date. - References: Names and contact details of two referees
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Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | 14 days ago
species) and cherry (Prunus avium L.), through the construction of pangenomes that will provide information on their impact on the coding regions of the genes, the regulatory elements and the genetic dosage
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of software and numerical simulations of turbulent flow in complex geometries. The project will entail work with the direct numerical simulation codes Neko and PyFR. Qualifications Requirements A doctoral
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(FAPESP). Deliverables: - Generate a database and produce an interpretative meta-analysis about plant stress tolerance under P restrictions; - Reproducible code repository (training/inference/validation