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applications for a project scientist (post-doc) position at the GeoHydrodynamics and Environment Research group (GHER, https://www.gher.uliege.be ) of the University of Liège in Belgium. The candidate will work
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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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learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data preparation and analysis A track record of peer-reviewed research
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using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic systems. Experience supervising Bachelor’s or Master’s students. Experience in
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) to soft matter or related systems; basic knowledge of scattering data modelling is essential. Data analysis skills and programming experience in Python or MATLAB. Ability to work effectively with multi
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practical solutions for communication systems. Familiar with programming language including Python and MATLAB. Proven research and academic writing experience, including the preparation of high-quality
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
, Competencies, and Experience Strong programming skills in Python and/or R. Experience analyzing high-dimensional biological data, especially single-cell sequencing data. Strong statistical and quantitative
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reproducible analytical workflows. Proficiency in R, Python, or another relevant programming language. Ability to handle, analyze, and interpret spatial data. Strong analytical skills and excellent written and
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, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
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and rigorously evaluating new machine-learning methods. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research