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Scientific Profile We are seeking a candidate with an international profile and an outstanding academic track record who will develop an excellent research programme in the field of Chemical and Process
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AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic
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are security-eligible. We may use background checks as part of our recruitment process. What are we looking for in you? Personal skills: We are an international team of researchers from diverse scientific and
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to the processing of personal data accordance with Article 6 Paragraph 1 Letter a) of Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with
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and Natural Language Processing is desirable. How to apply: Interested candidates should send an email to Prof. Daniel Pedronette ([email protected] ) with the subject line “RATIONAL
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, visualizing data, and writing clean & reproducible code) Experience with natural language processing tasks (in R or Python - familiarity with common tasks such as sentiment analysis, topic modelling
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-based strategies tailored to sustainable & resilient infrastructure (including nature-based solutions, soft engineering, hydraulic structures), clean energy, complex fluids including sediments, pollutants
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can be found here: https://hu.berlin/ETRL . Information pursuant to Art. 12, 13 DSGVO on the processing of personal data at Humboldt-Universität zu Berlin within the framework of job advertisements can
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extracurricular educational activities. Where to apply Website https://www.unibs.it/it/ateneo/amministrazione/concorsi/procedure-di-reclutamen… Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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environment, using excellent interpersonal skills. Demonstrated high level written and oral communication skills. A strong record of relevant sea service within the international maritime sector, including