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INSTITUT CATALÀ DE NANOCIENCIA I NANOTECNOLOGIA | Universitat Autonoma De Barcelona, Cataluna | Spain | 3 months ago
process, candidates will be asked to select the ICN2 research group(s) they would like to join. Please visit the profiles of our groups at http://icn2.cat/en/research Requirements: Candidates must fulfil
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EIZ’s Ordinance on Hiring Procedure from December 2023. The candidates must enclose: - their application, - curriculum vitae, - evidence of requested academic degree (candidates who have earned
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experience, deemed equivalent by the GRC (or delegate). The ideal PhD candidate will have: A strong background in machine learning, deep learning, and signal processing Proficiency in Python and machine
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for personal and professional development. Selection process Interested? Does this vacancy appeal to you? If so, click on the button below and apply straightaway. Please add the following documents to your
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as a technical issue, the project examines value realisation as an organisational and strategic process. It focuses on the alignment between enterprise-level decision-making and project-level
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to use advanced techniques to investigate the behaviour of several elements such as iron, sulfur and manganese, examining processes including mineral precipitation/dissolution, sorption processes and the
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Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with
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stimuli (ranging from quiet, empty settings to highly crowded, noisy environments) influence user decision making and motor behavior, and how repeated exposure can modulate these processes over time. You
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the process of receiving (within September 8th 2026): 1. an advanced degree such as a Master of Science (M.Sc.) or its equivalent in a scientific area coherent with the project proposed; and, where English is
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-process-in-a-nutshell . For more information on degree requirements and the application process, please visit https://www.helsinki.fi/en/research/doctoral-school . Working environment and benefits