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team, where PhD students and postdocs work alongside senior scientists to shape the future of photonics. The Integrated Solid-State Photonics Lab is a newly established research group within
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environment and direct access to world-class nanofabrication facilities. Your doctoral research will be embedded in the stimulating research environment of the Meta-PIX , a Swedish Research Council-funded
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fieldwork, multi-taxa datasets, or trait-based ecology is considered an advantage. What we offer A full-time doctoral researcher position for three years A structured and supportive PhD training environment
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ideal if you like to be involved in a PhD that covers the full cycle of numerical design, nanofabrication, and optics characterization, and if you have a keen interest in working towards real-world impact
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
adaptive trajectories across generations, and use omics-based approaches to identify mutations or functional shifts linked to improved system performance. You will work closely with collaborators who develop
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. This is particularly relevant for high-demand engineering structures, where local stress concentrations often drive damage initiation and limit service life. The PhD will focus on a staggered bottom-up
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structured and supportive PhD training environment at the Lammi Biological Station Supervision within an active and collaborative research group Competitive salary based on the Finnish university salary system
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Commitment, creativity, and teamwork skills Desirable assets: Experience in embedded systems or robotics is a plus Experience in cybersecurity is a plus Due to the specific requirements for this position and
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data structures (e.g., spatial models or second-order meta-analytic models). The appointments are full-time positions and made for a period of 3 years, 10% of which is devoted to required duties, usually
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to investigate the genetic influences underlying human growth and behaviour in infancy. A central component of the project is the meta-analysis of infant twin studies, with an explicit focus on modelling