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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
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activation assays. Other information The position is full‑time (100%) and fixed‑term in accordance with the Higher Education Ordinance (HF), Chapter 5, Sections 8–12, until 30 September 2026. The desired start
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project follow-ups. More information about MoRe‑Lab and our activities is available on our website . We offer Lund University is a public authority which means that employees get particular benefits
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, immunohistochemistry, chromatography, and surface plasmon resonance (SPR). Strong ability to analyze and interpret quantitative proteomics data in R and/or Python, as well as experience in integrative bioinformatic
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environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se
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; Study at LTH . Subject and project description The aim of this project is to develop novel methods for controlling hearing assistive devices using electroencephalography (EEG) data, and behavioural
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development, testing and application of the LPJ-GUESS biosphere model for modelling tropical wetlands and estimating tropical methane emissions. The work is part of the EU-funded project IM4CA (https://im4ca.eu