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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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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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working hours support a healthy work–life balance. More information is available on the university’s website Work at Lund University. Work Duties and Areas of Responsibility Conduct MRI scanning using
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research and bioinformatic analyses Sample handling, data analysis, and compilation of results Literature reviews, figure preparation, and scientific writing Other administrative tasks related to the role
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Therapy (MMGT) at the Biomedical Centre (BMC). MMGT houses labs with a variety of complementary expertise in stem cell biology and gene editing. More information on the lab can be found at leighnd.github.io
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technologies. The target chips include digital signal processors, radio frequency and millimeter wave frontends, data converters, as well as larger systems with a mixture of analog and digital signals. Our
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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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practical experience of student competitions. Further information The position is a fixed-term employment for 2 months with desired start on July 1, 2026, or according to agreement. How to apply The position
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authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. It is advisable to enter information on what your unit specifically can
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control, basic course (study periods 1 & 2), FRTN65 Modeling and learning from data (study periods 1–2), FRTF01 Physiological models and computations (study period 2), and FRTN90 Cloud computing (study