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https://jobs.uw.edu.pl/en /: Candidate’s questionnaire, PhD diploma (copy), Up to 3 selected publications, Curriculum Vitae with a complete list of publications, Description of planned research projects
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point-based PhorEau projections using a machine-learning model predicting tree species richness as a function of spatially explicit abiotic and biotic covariates, including satellite-derived data
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, machine learning, and related AI approaches, this is your chance to work at the intersection of data science, pathogen-research and immunology, tackling questions that matter for global health. The position
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multilingual AI, Translation quality evaluation using AI Teach undergraduate and postgraduate courses in Computational Thinking, Machine Learning and Natural Language Processing (NLP) for translators, LLM and
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/postdoc-ub4h-digital-technologi… Requirements Specific Requirements A PhD in educational sciences, engineering education, learning sciences, or a related discipline. Knowledge of hydrogen technology or
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offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led by a mentor
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level. Successful candidates will teach and supervise students who are serving officers and civil servants in the UK and allied armed forces and partners. There are also opportunities to contribute
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Areas: computer science; applied math; artificial intelligence; machine learning; statistics; engineering Appl Deadline: 2026/02/06 11:59PM (listed until 2026/06/19) Fellowship Description: Apply
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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would choose to work with lecturers clustered into three broad areas: Science and Technology, Arts and Design, Civic and Community. Applicants from any field representing the Computer Sciences are welcome