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field Two years of Python development experience, including scientific computing libraries (NumPy, pandas, scikit-learn). Proficiency with version control (Git), Unix/Linux environments, and command-line
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The ability to faithfully store and retrieve memories is an important adaptive quality that allows humans to reflect on, engage with, and respond to an ever-changing environment. Research in the Laboratory
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such as Biology and Bioengineering Experience with confocal imaging techniques and equipment Knowledge in flow cytometry techniques Ability to work independently and in a team environment Detail-oriented
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candidate will a be highly organized, detail-oriented and self-motivated individual. They will join an intellectually stimulating high-end scientific research environment closely with a small
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Proficiency with HPC and Cloud Computing environments, including distributed training (e.g. torchrun, slurm, deepspeed, etc.) Excellent communication and teamwork skills PREFERRED QUALIFICATIONS: Familiarity