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% with Laura Cantini’s team and 20% with the Bioinformatics and Biostatistics HUB. Information about the teams : The Machine Learning for Integrative Genomics team : https://research.pasteur.fr/en/team
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diverse operating systems; Skills in scientific programming (e.g. Python, MATLAB) and the application of advanced data visualization techniques; Very good command of Polish and English, both written and
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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and
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logs; comfort writing basic queries and simple scripts (PowerShell or Python) to automate routine tasks. Understanding of FERPA and GLBA Safeguards; awareness of PCI DSS fundamentals. Effective
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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). The WZB Berlin Social Science Center is a publicly financed research institution that conducts leading edge theory-based and problem-oriented social science research (http://www.wzb.eu/en ). WZB researchers
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to the publication of the call for applications: https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?categoria.id=855899 Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent
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the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work in a team are