11 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Universitat Autònoma de Barcelona
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phase and if a second interview phase is necessary To validate this request, you must validate the form that is accessed at the URL: https://seleccio.uab.cat Any application that is not submitted in
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information and the bases of the call in the following link The candidates must apply through the website https://seleccio.uab.cat or the Register https://seuelectronica.uab.cat/info-sol-licitud-generica Where
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of the call in the following link The candidates must apply through the website https://seleccio.uab.cat or the Register https://seuelectronica.uab.cat/info-sol-licitud-generica Where to apply Website https
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will find more information and the bases of the call in the following link The candidates must apply through the website https://seleccio.uab.cat or the Register https://seuelectronica.uab.cat/info-sol
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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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Selection process You will find more information and the bases of the call in the following link The candidates must apply through the website https://seleccio.uab.cat or the Register https
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archeology, Antiquity Sciences or Degree in history (specialty archaeology) Computer skills: GIS Languages: English is required. Working experience: Experience in archaeological applications of GIS Benefits
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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of the Catalan Aerobiological Network XAC), Point of Information on Aerobiology (PIA) and Laboratori of Palynological Analysis at the UAB (https://aerobiologia.cat ). Job position requirements (skills/languages
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post-compulsory programmes 15 • Educational software and technologies - 20% Qualitative analysis, learning management systems, evaluation, project management, visualisation of teaching materials