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://jobs.uiowa.edu/ . Refer to requisition #4501. Applications must include the following: a completed AMS cover sheet, a cover letter, a complete vita, name and contact information of references, a research statement
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hotspots of biodiversity. Although they are often deforested for agricultural use, they have the ability to regrow naturally on abandoned fields. These secondary forests cover large areas, have the potential
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anthropogenic activities, as well as limitations of existing models in effectively integrating human data to quantify human influence. Foundation AI models offer significant potential due to their strength in
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, information extraction, natural language generation, and text summarisation. Professor Bontcheva is the coordinator of FP7 PHEME project, scientific coordinator for H2020 WeVerify project, USFD PI for the EDMO
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR
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Three 3.5 year PhD studentships in artificial intelligence in medicine or health data science funded by the National Institute for Health Research UCL UCLH Biomedical Research Centre are available
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Humboldt Universität zu Berlin / Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 16 hours ago
-qualified candidates with disabilities. Additional information For further information, please contact the scientific coordinator of the RTG2965: Dr. Víctor González-Alonso (email: grk2965@math.uni
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into the computational environments and data handling routines Presentation of the scientific results on conferences and in publications Applications should be accompanied by a cover letter describing motivation, skills
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its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk
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costs the NHS over £1 billion annually in England and Wales. Despite this, routine pollen data remain limited in resolution and frequency, underscoring the need for retrospective datasets to support