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experience with R and/or Python language, bash shell environment, high performance computing, next-generation sequencing data analysis, and single-cell analysis workflows 2 – Communication and team work
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with: Experience with web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API
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in working life, with particular interest in visual comfort and discomfort in modern office environments and how workplaces can be lit to meet the needs of older workers. With increasing age, changes
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, incubators, shakers, and high-throughput laboratory automation.You will also have access to a dedicated Linux-based GPU computing cluster for AI-driven protein design and machine learning, enabling the
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observations to models or satellite products. Experience with high-performance computing environments. Employment Type of employment: Fixed-term employment, 3 years. Extent: Full time, 100%. Location
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comprises three research groups and approximately ten active researchers. Located at BMC D12, the environment has access to 300 m² of laboratory and office space, including state-of-the-art facilities
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led by the TomoWISE Beamline Lead Scientist, and the team will be part of the Beamline Office Group within the Science Division for the duration of the project. Would you like to work at one of the
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vacation (28 workdays per year, corresponding to 5 ½ weeks) Free access to the Swedish health-care system (full health-care coverage) Paid maternity / paternity leave (up to 390 days per child
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key competencies as a researcher. Applying for the position The application is done via the Lund University recruitment system. The application must contain a personal letter motivating your interest
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catalysis and reactor system optimization for sustainable energy and chemical conversion. The research will explore the integration of electrochemical processes with enzymatic catalysis for the selective and