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and BCR analysis and in silico data generation is an advantage). Strong understanding of gene transcription regulation and cis-regulatory elements in a cancer setting. Track record of developing
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the Signal Analysis and Machine Intelligence group led by Professor Moncef Gabbouj on achieving the goals and objectives of the Tampere University team within the project. The positions are full-time starting
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collaborations with teams from Finland, Sweden, USA, Canada, Portugal, UK, India, etc. Figure 1: We will use models, data analysis, and new empirical genome-wide and single-cell data to study how non-resistant
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science, and soft robotics. The PhD work will focus on the design, synthesis, and characterization of supramolecular, halogen-bonded liquid crystal elastomers (LCEs). Recent work from the group demonstrates
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devices and virtual presence create breakthrough opportunities to renew the analysis and management of safety risks. Changes such as the increasing use of interactive robotics, the wider adoption of new
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and signal processing ambitions, both from biological or engineering/computer scientist background with keen interest on biological and especially neuronal systems analysis. Planned secondment(s
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interface materials and bonding parameters for individual GaN chips. Characterize the bonded samples using mechanical, electrical, and thermal analysis methods to assess bonding quality and identify
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physics https://www.tuni.fi/en/about-us/computational-physics Modeling and simulations have an increasing role in fundamental sciences and they are also pivotal in the analysis, interpretation and
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to the use and design of screen interfaces. A curious mind and solid skills in critical thinking and problem solving. Knowledge and experience of methods of visual studies, including data collection, analysis