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analysis. Experience with bioinformatics or ML-assisted sequence analysis. Familiarity with metagenomic library construction or screening methods. Candidates with experience in microfluidics will be
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including the research statement Proficiency in both written and spoken English Scientific qualifications: A degree in Biology, Geology and Earth Science, Physics, Mathematics, Geography, Soil Science
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sequence analysis. Familiarity with metagenomic library construction or screening methods. Candidates with experience in microfluidics will be considered an advantage. Ability to work independently and
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will be associated with these projects. The Kavli Institute for Systems Neuroscience offers a dynamic, interdisciplinary research environment that advocates active collaboration, and where diversity
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antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and translational research models—SHIELD supports research
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. Food packaging is a main contributor to plastic waste due to its short lifespan. Once discarded, food packaging forms a mixed, soiled, and unsortable plastic waste fraction that, as of today, is not
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the challenges posed by implant-associated infections (IAIs), SHIELD aims to deepen our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured
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dynamics, numerical modeling, and scientific programming is required. The following areas of expertise are considered beneficial: Experience in scientific computations using Python, C, C++. Experience in
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characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
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will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further characterize forest structure. Remote sensing data, such as images, lidar, and