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Qualifications: M.S. (or equivalent professional degree) in physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 16 days ago
command of written and spoken English, · proficiency in Linux environment, advanced data manipulation (e.g. python, perl, etc.) intermediate/advanced programming skills, · experience in spin and molecular
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 16 days ago
of solid-state physics, excellent proficiency of written and spoken English, proficiency in Linux environment, advanced data manipulation (e.g. Python, Perl, etc.) intermediate/advanced programming skills
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their results in the context of the clients. Analyses will be conducted with several software packages for statistical data analysis (possibly including R, SAS, Python, …). The new colleague may acquire new
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graduate student at the University of Michigan Available to attend lectures and lead lab sessions Demonstrated working knowledge of Python including programs of 100-500 lines of code. Have previously taken
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python
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*). More info about the IoPPN are available here https://www.kcl.ac.uk/ioppn/about . About the role: We are recruiting a highly motivated Epigeneticist to join a collaborative initiative between King’s
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Member of the Faculty at Massachusetts General Hospital, Harvard Medical School. More information can be found at https://www.hsph.harvard.edu/profile/christy-denckla/. Job-Specific Responsibilities
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. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset. • Familiarity with geospatial data