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proteins Do ligand docking and pocket design Design and filter in silico libraries at scale Write strong Python and are comfortable with structural-biology tooling Can own a design campaign end to end, and
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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collection procedures. Data Processing Execute and monitor established data workflows, including running existing Python, R, SQL, and other automated scripts that support recurring data projects. Process
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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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Professional 1: Prior experience in rodent behavioral research lab or similar; Knowledge of neuroanatomy and/or animal behavior; Experience with coding, especially in Python or Matlab Essential Qualifications
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Excel. Intermediate level R, Python, and SQL. Familiarity with SPSS, STATA, Dedoose, or similar software. Previous experience in data visualization with business intelligence software such as Power BI
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, with possibility to extend Appointment Start Date: Flexible (rolling review of applications) Group or Departmental Website: http://pollacklab.stanford.edu(link is external) How to Submit Application
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of a Microbial Planet” (https://ccomp-stc.org/ ) as well as a new collaboration with researchers in the Mathematics Department at Toronto Metropolitan University (TMU). The goal of this project is to use