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Field
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evolution; (b) galaxy formation and evolution; (c) computational astrophysics; (d) analysis of numerical simulations and large datasets. Candidates should demonstrate solid programming skills (e.g
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científicos o ponencias en congresos nacionales/internacionales. Search, download, and analysis of databases. Programming in R or Matlab (or Python). Analysis and modeling of time series using ARIMA techniques
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para este puesto. Strong knowledge of embedded systems programming and VHDL/SystemVerilog; programming in C/C++ and/or Python; A high level of English, as well as a willingness to learn Spanish, are
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knowledge of embedded systems programming and VHDL/SystemVerilog; programming in C/C++ and/or Python; A high level of English, as well as a willingness to learn Spanish, are also required for this position
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CFM-Centro de Física de Materiales/MPC-Materials Physics Center | Donostia-San Sebastian, Pais Vasco | Spain | 2 months ago
, colloidal nanoparticle synthesis, scientific programming and workflow automation, and research entrepreneurship and innovation. Upon completion of the PhD, candidates will be uniquely positioned for
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indicative maximum of four years of research experience following completion of the PhD. Experience in modelling, computational simulation, scientific programming, or the analysis of physical or energy
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this respect, although scientific programming is not among the tasks of the position, successful candidates must be able to interact with the researchers developing the scientific software, and thus
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scientific programming, machine learning, statistics, or gravitational-wave physics will be particularly welcome. Application procedure: Interested candidates should send a CV, a short statement of research
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experience in neurophysiological signal processing and quantitative data analysis . Strong programming skills in Python , including the development of reproducible data-analysis pipelines. Experience
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related to: Algorithms & Data Structures Programming II (Object-Oriented Programming with Python Deep learning Internet Security Theory of Computation Computer Architecture & Organization Develop course