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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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@cuhk.edu.cn Group information: https://sites.google.com/view/qlmgroup/home Information about the group leader: https://sse.cuhk.edu.cn/en/faculty/sanjibghosh The Chinese University of Hong Kong, Shenzhen is
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM). A pragmatic scientist who combines technical depth with a clear translational, goal‑oriented
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into R&D projects. The following requirements will be preference factors: • Programming skills, namely in the field of the R language; • Digital skills in R, Python, SAS; • Ability to implement
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–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python
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the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
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in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance
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/training. Preferred Qualifications: Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics. Previous