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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
collaborate on planned research tasks. Strong knowledge of modern AI tools and technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g
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transformation, or reporter-based imaging basic data analysis skills (R/Python), statistics, or omics/bioinformatics prior experience with hormone biology/plant signalling/transport LanguagesENGLISHLevelGood
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, deposition and transport behaviour. • Wastewater treatment modelling, including aeration energy, sludge production, nutrient removal and AD performance. • MATLAB/Python-based data analysis, multi-source data
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of the candidatures. Further information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition Where to apply Website https://www.it.pt/ Requirements Research FieldEngineering » Electronic
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Python, and used to working with large datasets and reproducible analysis workflows. Has a demonstrated ability to initiate and drive own research ideas, preferably with experience from writing and
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administrative and technical services—all within a setting that offers attractive employment conditions. To learn more about the department, please visit: https://www.umu.se/en/department-of-computing-science
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Website https://www.academictransfer.com/en/jobs/357989/add-ream-3-phd-positions/apply/ Requirements Specific Requirements A Master’s degree in Mechanical Engineering, Materials Science, Industrial
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, BPC and CC-GWAS . Where to apply Website https://www.academictransfer.com/en/jobs/357521/phd-student-genetic-prediction-… Requirements Specific Requirements You are an ambitious and analytically strong
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/high level Matlab and Python programming is required) and finite element method modeling. The candidate will participate in international collaborations and meetings and will have the opportunity
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. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experiences with engineering design, structural/aerodynamic/aeroelasticity modelling, manufacturing/assembly process