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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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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research
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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
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computing. With expertise in optoelectronic devices, ultrafast optics, and fiber optical communication - from long-haul transmission to datacenter interconnects - we tackle real-world challenges at
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scientific computing and experience with time-stepping methods and the finite element method (FEM), preferably applied to fluid dynamics, solid mechanics, or other moving-boundary problems. Prior
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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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models. Unix/Linux environments and high-performance computing systems. Scientific writing, scientific publications, and/or grant applications. Preferred qualifications A doctoral degree obtained within
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scientific computing for experimental data analysis Assessment criteria This is a career development position primarily focused on research. The position is intended as an initial step in a career, and