19 python-"Multiple"-"NTNU---Norwegian-University-of-Science-and-Technology" positions at UNIVERSITY OF HELSINKI in Finland
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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development using Python and/or other programming languages, as well as executing organic (multistep) reactions in the laboratory. We are looking for an applicant with: A Master's degree in chemistry, chemical
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, experience working with health data is a plus but not a requirement Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep
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, or a related discipline Demonstrated machine learning experience, experience working with health data is a plus but not a requirement Proficiency in Python and experience working in Linux-based HPC
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statistical modelling, Solid skills in computer programming for data science (e.g. R, Python), Experience with real-world data analysis tasks, Good communication skills in English, both verbal and written
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in a relevant field Strong statistical background with either R or Python, with the ability to work in both worlds. Experience with databases (SQL) We work with Linux in large secure computing
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, astrophysics, or a related discipline completed by the time of appointment, Strong interest in solar physics, space weather, or plasma modeling, Programming experience (e.g., Python or equivalent), Some
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programming skills in Python and/or R, with experience using notebooks (Jupyter, RStudio) and Git Familiarity with workflow managers such as Nextflow or Snakemake is a plus Ability to communicate complex
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assessment and supervise/mentor students Programming skills (e.g. Python, R, MATLAB, C) are seen as a benefit. What we offer The salary of the postdoctoral researcher will be based on level 5 of the demands
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance