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have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing). Strong skills in data analysis and
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application (max. 5 pages) Application: We are looking forward to receiving your online application. The full, legally binding call for application (in German) including the salary can be found here: https
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history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You
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the European Research Council - ERC COG 101088763. The work for this position is in the area of Machine Learning and Natural Language Processing. We are offering We offer a challenging position with the
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: https://taltech.ee/en/phd-admission The following application documents should be sent to francesco.deluca@taltech.ee CV Motivation letter Degree certificates as required by the university A research plan
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Up to 18 fully funded Marie S. Curie PhD positions at the University of Copenhagen (UCPH), the Technical University of Denmark (DTU) and the Danish Cancer Institute (DCI) CALL FOR PHD APPLICANTS
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research with digital humanities, the project analyzes nearly 180,000 documents of official correspondence from the period 1640–1822 using advanced natural language processing techniques. This approach makes
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, dynamic academic setting. Eligibility criteria Recently obtained PhD (no earlier than 2024), in one of the following fields : Bioinformatics Computational biology Computer science / data science Applied
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | 2 days ago
molecules involved in these processes. We utilise our findings to develop new diagnostic methods and anti-infectives based on natural products. The ILRS PhD projects try to answer these intriguing questions
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to have the following skills and experience: Essential criteria PhD or equivalent in a relevant discipline (e.g., biostatistics, computer science, clinical informatics, natural language processing). Proven