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Postdoctoral position in Human-Computer Interaction focusing on AI-mediated programming Login and apply Lund University, LTH, Department of Computer Science Lund University was founded in 1666 and is
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time-series data Experience of high-performance computing, GPU-based computing, or parallel programming Experience of probabilistic modelling or inverse problems Experience of developing and
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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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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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-impact work Familiarity with Git and GitHub Competence using Linux-based high-performance parallel computing systems The assessment of applicants will primarily be based on their scientific merits and
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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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doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Documented proficiency in computer programming. Track record of preparing and
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following areas will be considered an advantage: Air filtration, aerosol sampling, and particle counting Droplet freezing assays Bubble and/or turbulence characterization Programming and data analysis