75 web-developer "https:" "https:" "https:" "Newcastle University" positions at Lunds universitet
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development to biomedical studies. The main research areas include sensitization, immuno-oncology, and biomarkers. The modern facilities are located at Medicon Village, where academic research is carried out
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. Project description The project involves using and developing bioinformatic tools for analysis of microbial genome sequences. A particular focus is on further development of our FlaGs tool, the web server
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balance, and a workplace climate characterized by collaboration, clear supervision, and strong opportunities for professional development. Read more on the university’s website about being an employee
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coordinating unit for Lund University's InfraVis node, consisting of around 10 people with complementary expertise. InfraVis and CIPA provide all employees with professional development opportunities and strive
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of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction
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creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed
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the Marie Skłodowska-Curie Actions under the Horizon Europe framework. To read more about the SOCIAL project please see: https://www.soclaw.lu.se/en/index.php/article/sociology-law-department-leads-eu55m-eu
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. Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research within the department and how they stand to contribute to its future development. Terms
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found here https://www.maxiv.lu.se/beamlines- accelerators/support-labs/microscopy-labs/ . This is a temporary position from March until October 2026. Qualifications for a successful candidate are: Hold
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum