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large-scale simulation data effectively. - Ability to conduct independent research while collaborating successfully in a multidisciplinary team, with a record of scholarly publications that reflects
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mechanisms underlying risk for addictive disorders—with a primary focus on tobacco dependence and relapse—and translating this information to develop more efficacious interventions. This position is supported
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research, data science, cognitive science, or related disciplines who are eager to engage deeply in the Institute’s research activities in empirical education. We especially welcome applications from
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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. The successful candidate will contribute to advancing climate risk assessment, integrating scientific and local knowledge, and utilising innovative sensor data and community-generated observations to improve
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-engineering. A semantic interoperability backbone and data management are also required due to the large number of stakeholders and their need to receive or exchange information. Experience with modelling
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with experimental and other theoretical groups in Vienna is desirable. Candidates should also actively contribute to and collaborate with the CRC TACO, https://sfb-taco.at/ a large joint research
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energy physics group at Texas A&M University invites applications for a postdoctoral research associate position to work on the CMS experiment at the Large Hadron Collider (LHC). The TAMU CMS group, led by
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journals and edited volumes, and present your work at international conferences. Collaborate with our digital humanities team to engage actively in the development and data curation for the "OMnibus of
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related fields are welcome, such as connections with hazard characterisation, big data analyses as well as environmental fate and multisource exposure studies. While the work will focus on a Danish and