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komplett liste over cookies. Slik avviser eller sletter du cookies Du kan til enhver tid avvis cookies på datamaskinen, nettbrettet eller telefonen din ved å endre innstillingene i nettleseren din. Hvor du
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qualifications for the position. a detailed Curriculum Vitae, including: the starting and end dates of your BSc and MSc study a list of your publications a brief description of your MSc thesis project contact
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 27 days ago
international circulation. International Profile. Be proficient, speaking and writing in English. Technical skills including: experience with Python (Pandas, Numpy, Matplotlib, etc.); experience with popular
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predictive checking, model comparison) • Computational modelling with Python and Dynesty, JAX, NumPyro, and PyTorch • Use of asteroseismic and spectroscopic survey data (e.g. PLATO, Gaia, APOGEE, TESS) • High
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data analysis tools (e.g., python, R, SQL, Power BI or similar); You are an excellent team-player in an enthusiastic group of scientists and practitioners from different backgrounds; You are fluent in
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analytical programming language (e.g., Python, R) or a universal programming language (e.g., C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills
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learning, deep learning, and/or computer vision; Experience in programming. Python is a must, lower-level GPU programming experience is a bonus; Strong grasp on the English language; Eager to collaborate and
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data, quality assessment/filtering, alignment and variant detection. Experience with long-read (PacBio/ONT) NGS sequencing, genome assembly and annotation Strong competence in programming (shell/python/R
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of statistics and basics of data analysis. Capacity to perform statistical programming, ideally with R or Python (alternatively with SPSS or Stata). Previous experience with designing questionnaires, choice
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data, including regression, classification, representation learning (e.g., spectra, micrographs, or time-series), and uncertainty-aware modelling for experiment planning. You are proficient in Python and