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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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/InstituteDepartment of PhysicsCountryNorwayCityTrondheimPostal Code7491StreetHøgskoleringen 1Geofield Contact City Trondheim Website http://www.ntnu.no Street Høgskoleringen 1 Postal Code 7491 STATUS: EXPIRED X
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of the solar corona from Solar Orbiter and the Solar Dynamics Observatory (SDO). The candidate will work on the analysis of fine-scale structure in the corona using Solar Orbiter/EUI imaging and SPICE
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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(ILT)” in the gills, and the Nemausean Lymphoid organ (NELO), revealing the branchial cavity as an important region of the fish immune system. https://www.science.org/doi/10.1126/sciadv.adj0101 https
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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scale, with applications in the domains of Solid Earth geohazards, porous media, critical raw materials, and large-scale tectonics. Research in the section uses field work, analytical and imaging
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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within the working hours The Research Fellow position is compensated according to position code 1017 Research Fellow. There is a compulsory 2 % deduction to the pension fund (see http://www.spk.no for more
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CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three‑year PhD position. The recruited candidate will take part in UiO Emerging Technologies Initiative Project FTI-NAM. NAM