41 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Linköping University
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and lead to new treatment opportunities for metastatic cancer. The employment Fixed-term employment 6 months. Full time. Salary and employment benefits More information about employee benefits is
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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of physiological data, experience in working with natural products and knowledge of neuro-immune interactions. The applicant is expected to be fluent in both written and spoken English. Great emphasis will be given
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Department of Electrical Engineering, see: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted to the program for doctoral studies. More information
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of the project’s digital infrastructure and analysing the Swedish folk high school based on large-scale data. You will have the opportunity to develop and apply data-driven methods, handle large digital archives
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18 Dec 2025 Job Information Organisation/Company Linköping University Research Field Communication sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 6 Feb
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include teaching lessons, supervising in the computer lab or during laboratory exercises, and other tasks, including correcting reports, quizzes, etc. About you To be employed as an amanuensis, you must
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The university applies individual salaries. State your desired salary in the application. More information about employee benefits is available here . Union representatives Information about union representatives
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determined. For more information on eligibility requirements, assessment criteria and recruitment procedures for teachers, see Linköping University’s rules of appointment. Linköping University’s rules
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data