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pipelines and packaging. Familiarity with additional programming languages (e.g. Go, Typescript, Rust, PHP). Experience with monitoring and logging tools. Familiarity with RESTful APIs and microservices
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23 Aug 2025 Job Information Organisation/Company Lunds universitet Department Lund University, LTH Research Field Technology » Biotechnology Researcher Profile Recognised Researcher (R2) Country
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Application Deadline 5 Oct 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject
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umbrella organization and builds on four pillars: Qualitative methods; Experimental methods; Computational Social Science, as well as Skill School (https://www.sam.lu.se/en/research/lund-social-science
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& cultural activities • Full health insurance and social security, student benefits for PhD students • Free Czech language classes, professional trainings and mentoring programme • Concessionary services
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a motivated PhD student to join our international team at the Biology Centre
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The supervisor for this position, Dr. Eran Elhaik, led
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, the student must be judged to have the potential to complete the programme. Additional requirements: Very good oral and written proficiency in English. Collaborative skills in order to work in an
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore