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. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program
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for Automated In Vitro Platforms Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is
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the contract and to work on: Knowledge mobilization via PI’s website. Liaise with Co-PI’s and their digital networks for knowledge mobilization. Podcast editing. Creation of reels. Short videos for knowledge
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 6 days ago
genome profiling to address fundamental questions in biomedical research mainly focused on eye diseases including ocular-tumors. Key responsibilities include: Performing in vivo animal work and precise
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(NextGen-Fi). The post will contribute to the development and validation of unique Unpiloted Airborne Vehicle [UAV] datasets. The work will focus on UAV data management, orthophoto optimisation and
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. Theory and modelling of EIT and four-wave mixing will guide the experiments, alongside group work on nanophotonic design. The student will work across device fabrication, cryogenic QD optics and atomic
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Research (www.circle.lu.se ). You will work in the research project DECENT (Socio-technical modularity and the decentralization of infrastructure), funded by the European Research Council through an ERC
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the various research areas. We look forward to receiving your application. Join us in building the future! Read more about our benefits and what it is like to work at Uppsala University Project description
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viscoelasticity as a function of cytoskeletal tension, guiding cell growth. Your profile We are looking for a highly self-driven candidate with a hands-on work attitude who is interested in pursuing
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? As a machine learning researcher, you will initiate and work on innovative data-driven solutions in the bioeconomy and food domains. One example is improving fermentation screening for plant‑based