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Additional Information Work Location(s) Number of offers available1Company/InstituteThe University of BoråsCountrySwedenGeofield Contact City Borås Website http://hb.se Street Allégatan 1 Postal Code 501 90
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. Analyze MS data. Collaborate tightly with other consortium members. Contribute to writing peer-reviewed papers, and grant applications, if opportunity arises. Supervise MSc students if opportunity arises
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skills, help students achieve their goals and, above all, be a role model and mentor for future generations. Information about the position As a tutor for Chalmers Pluggstöd, you mainly support primary and
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CRM mobilization under undisturbed conditions. The work include multi-elementand isotope analysis and data interpretation. Mineralogical characterization (µXRF, XRD, SEM-EDS, electron microprobe, LA
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of both physics-based and measurement-based models, as well as validation against experimental data. The models will be used to analyze how different design choices affect electromagnetic compatibility (EMC
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the planning, implementation and development of behavioural studies. This includes field-based research in commercial and experimental farming environments, analysis of complex behavioural data, and leading
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research, while continuously improving how the facility operates. Within this division, the Software team develops and maintains the control systems, data acquisition software, and user interfaces
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to the Skaraborg region. The doctoral candidate is expected to participate in the project’s joint data collection in the region, including interviews, in collaboration with other project members. At the same time
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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
scale and leveraging the rich legacy data already available, these issues will be addressed systematically and synergistically across four temperate regions of the Northern Hemisphere. The team will
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how information is encoded, integrated, and retrieved from memory. Project description The successful candidate will contribute to a project investigating the neural detection of concealed knowledge