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About the VU People@Work group: The VU People@Work research group is a disciplinary and methodologically diverse group of experts who create knowledge for organizations to understand and proactively
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data management. Work with researchers and technical experts at European photon science facilities to facilitate knowledge exchange and technology transfer. Support and coordinate project workshops
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the INL experience and it is important for us to maintain good communications with all candidates. No matter the outcome of your application, we will always provide you with feedback. Equal Opportunity and
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top-tier journals) are key requirements. Being able to communicate fluently in English is a must. Good German language skills are additionally required to establish collaborations and conduct research
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from EMG, motion capture, dynamometric, or stabilometric systems, mathematical modeling, biopotential analysis, bio-algorithms, or computational neuroscience projects); good command of English, enabling
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field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 13 days ago
17 Sep 2026 Job Information Organisation/Company InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences Research Field Biological sciences » Biology Biological
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FieldPhilosophyEducation LevelPhD or equivalent Skills/Qualifications Conducting research in the field of social sciences and humanities Strong motivation for academic development Independence and good work organization
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may include introgression analyses, demography, and heterozygosity. The successful candidate will be proficient in executing software and commands via the command line, will have worked with long- and
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: Overcoming Inequity in Embodied Learning in Danish Vocational Education and Beyond, funded by Independent Research Fund Denmark. This is a full-time (37 hours per week), fixed-term (24 months) postdoctoral