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and the SciLifeLab. If you wish to know more about our research, team, or professional values, please visit: https://liu.se/en/research/cantu-lab and https://www.scilifelab.se/researchers/claudio
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, and international collaborators. The work will involve large 3D datasets and reproducible computational workflows, including scripted quality control and, when appropriate, parallel processing on high
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broader bioinformatics environment in Umeå, most of which is co-located with UPSC, comprising more than thirty professionals working for both local and national organizations (for example, SciLifeLab
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scientific computing, image analysis and research infrastructures, you will collaborate closely with scientists, software engineers, beamline scientists and computing specialists across the European
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aims to turn HTC filtrate from a problem into a resource. In parallel, the filtrate is used as substrate for microbial production of biodegradable plastics (PHA) together with our partners at Karlstad
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in English. Strong collaborative skills and the ability to work systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation
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transcription such as ChIP and RIP-seq you are self-motivated, persistent and collaborative with an analytical mind and capacity to structure more than one project in parallel you have the ability to
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parallel. Active participation in other ongoing projects in the lab and clear communication of research findings to both specialized and general audiences are expected. Additional responsibilities include
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partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure
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- Control of Communication networks - Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing