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. R, Python, MATLAB or similar) Ability to integrate molecular, clinical and experimental data in translational research projects Experience in scientific communication, including publications and
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method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international
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graduate student at the University of Michigan Available to attend lectures and lead lab sessions Demonstrated knowledge and skill in Python, including libraries and methods relevant to scientific computing
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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will require a strong interest in experimentation, reproducibility of results, and reading scientific papers. Good programming skills (in practice Python) are expected, as well as a genuine interest in
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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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: Experience with Django Python development. Experience with VCS, preferably Git. Advanced skill level in CSS, HTML5, and JavaScript. Knowledge of MVC and responsive web designs. Knowledge of application testing
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referencia. Habilidades de programación en Python y plataformas de aprendizaje profundo como PyTorch. Habilidades de comunicación oral y escrita en inglés. PhD degree in computer science, electrical
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) and cloud technologies knowledge is a plus. Experience with Next-Gen firewalls and deep familiarity with IPS functionality, as well as python programing experience are also a plus. Certifications in TCP
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/Qualifications Experience with molecular simulations (LAMMPS, GROMACS or equivalent) and/or electrostatics simulations (APBS or equivalent). Strong programming skills (Python, FORTRAN, C, or similar). Experience