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Field
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implementation research program aimed at bridging evidence from the Umeå HIT studies into scalable real-world practice in both digital and community settings. Previous work within the Umeå HIT project has
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postdoctoral position in experimental particle physics with the ATLAS experiment, focusing on studies of the nature of the Higgs boson, both through the creation of two Higgs bosons and two top quarks, as
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to the application deadline What you will do Perform research studies and publish in top conferences and journals Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at
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also be included. The successful candidate is expected to plan and perform independent research but is also expected to collaborate with researchers at the department and within other subject areas. The
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practice or other forms of appointment/assignment relevant to the subject area. Candidates should have experience in some of the following areas: data analytics, computational modeling, programming
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for the sustainable planning of wind power in forest landscapes. For more information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology
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-supported engineering decisions The work may include: method development industrial case studies demonstrator development scientific publication supervision of master’s and/or PhD students to a certain extent
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to understand disease resistance and local adaptation across Europe. The project combines large-scale population genomics, graph-based pangenomics, structural variant discovery, genome-wide association studies
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, Cybersecurity, AI, Machine Learning (ML), Data Science, or another closely related subject, no more than three years before the application deadline; has documented knowledge of AI and ML; has demonstrated
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in the field of AI, computational science, bioinformatics, or similar field, and must have demonstrated successful completion of projects during the graduate thesis studies. Practical experience in AI