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modelling of high-dimensional datasets. Experience in basic computational methods (e.g. R, Python, and/or other programming languages) Experience in developing computational analysis pipelines Experience with
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algebraic constructions of graphs arising from finite fields, projective and polar spaces, and related structures. Apply computational methods (e.g. Magma, GAP, SageMath, Python) to test conjectures and
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the SPIN Doctoral School (ed-spin.doctorat-bretagne.fr). This thesis is part of the ANR Ant'noid project (https://anr.fr/Projet-ANR-24-CE33-0218 ). Additional Information Applications must be submitted via
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experimental collaborators. The position is part of the Research Council of Finland project ELPH-ML (https://research.fi/en/results/funding/88752 ). In combination with academic development courses at Aalto
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Please visit our lab website for more information
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iterate solutions Evidence of intermediate to advanced skills in data and visualisation tools such as SQL, Python, RStudio, Power BI and Domo Strong communication and interpersonal skills (oral, written and
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in the engineering classroom Preferred Qualifications • Prior experience teaching first-year engineering or computing students • Familiarity with MATLAB, Visual Basic, Python, or similar technical
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of planetary atmospheres and surface environments · Strong programming skills (e.g., Python, C/C++, or Fortran) and familiarity with high-performance computing, and · Excellent organizational and written and
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Python and Git, with high standards for software quality, verification, documentation and user-friendliness strong problem-solving skills, you can take ownership of complex technical topics and figure out
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for Initiative research projects, primarily in R and/or Python Collaborate with engineering and social science research teams to ensure technical analysis is policy-relevant and that findings