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as well. The salary of a trainee is €700 per month for a part-time (50%) trainee. About the position COSLAB is a tool designed to aid social scientists working with image recognition systems and label
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a part-time (50%) trainee. About the position COSLAB is a tool designed to aid social scientists working with image recognition systems and label images with them. During this internship you will
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cell core, multiphoton microscopes, optogenetics, in vivo imaging and electrophysiology, as well behavioral facilities. The members of NC have also access to cutting-edge human brain imaging including
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of the art technologies. NC hosts state of the art infrastructures and facilities for rodent brain research. These include neuronal stem cell core, multiphoton microscopes, optogenetics, in vivo imaging and
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The Institute for Molecular Medicine Finland (FIMM) at University of Helsinki | Finland | about 1 month ago
of methods to early identify common preventable diseases. In our group, we integrate electronic health records, image data and genetic information from large biobank-based studies (e.g. https://www.finngen.fi
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located at the Department of Computational Engineering. The department concentrates on applied mathematics, computer vision and pattern recognition, computational spectroscopy, and atmospheric modelling. We
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on January 1, 2025 (separate application process in autumn 2024). The positions are within the three projects listed below. Project 1: Modelling of signal enhancement and fluorescence imaging in nanowire-based
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well as on fundamental cellural processes by applying the tools of molecular genetics, biophysics, biochemistry, systems and cell biology. In MEDI unit, genome wide methods, computational approaches and experimental
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at Tampere University. Tampere University provides state-of-the-art research infrastructure and core facilities , including for example bioinformatics, genomics, proteomics, imaging, and animal facilities
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Mathematics for Sensing, Imaging and Modelling (FAME), funded by the Research Council of Finland for the period 2024 – 2031, as well as the Finnish Centre of Excellence in Inverse Problems Research 2018-2025