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bacteria increase antibiotics survivability, focusing on their gene networks. Our laboratory produces experimental data that will be analyzed by the student to study the bacterial gene network and develop
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Computational Biology, Bioinformatics, or a related field, Understanding of statistics, genetics, immunology, cancer development with emphasis on transcriptomics, Demonstrated ability to work with high-throughput
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on developing novel Machine Learning methods for financial markets. The positions will offer excellent opportunities to work in a team of professionals responsible for developing cutting-edge technologies in
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linked to four major global challenges: increasing complexity, changes in the logic of value creation, the need for sustainable development and social change. Our five research groups specialize in
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directly linked to the development of the EU-level pilot line SiPFAB, which has received 40 M€ of funding to advance high-power semiconductor device packaging technologies. The selected candidate will
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: Development and demonstration of 3D-in vitro environment for of electric field interference neuronal simulation with self-organized networked electrode array Project tasks and objectives: The BRAINET is an EU
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edges in technology, health and society. www.tuni.fi/en Job Description Project title: Develop methods to assess the neuronal system (brain) state and the effect of the spatiotemporally steered stimulation
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. The Visions of the City project is led by Professor Asko Lehmuskallio (Visual Studies Lab) and Doctor Markus Laine (Sustainable Urban Development). The hired Doctoral Researcher will also collaborate with
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breakthrough materials to address future challenges related to the environment, energy and human welfare. We develop solutions for all materials used in industrial applications, such as metals, ceramics
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on the development of functional and responsive soft materials and their applications in photonics, biosciences, and soft robotics. The group is part of the Chemistry & Advanced Materials (CAM ) research cluster