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biology, bioinformatics, computer science, biology, or a related discipline, Strong interest in applying quantitative approaches to complex biological and biomedical questions Solid computational skills
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will hold a PhD (or close to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science
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-in-cyber-… Requirements Specific Requirements A PhD degree in data science, computer science, artificial intelligence, operations research, econometrics, or a closely related field; Demonstrable
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Julien Schleich. For further information, please contact Your profile PhD degree in Computer Science, Applied Mathematics, Computational Engineering, Physics, or an equivalent field with a focus on High
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and Artificial Intelligence. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137704 Requirements Specific Requirements Candidate profile Applicants should hold a PhD in
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Job Requirements REQUIRED: PhD in engineering that includes domain-specific expertise in manufacturing, processes or systems preferred; teaching experience in higher education settings in STEM
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to the processing of personal data for the purposes of the competition https://wppt.pwr.edu.pl/pracownicy/konkursy/wymagane-dokumenty-konkurso… (At the moment of employment) Copy of PhD degree diploma or confirmed
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications
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Information Eligibility criteria Skills: - PhD in theoretical computer science or a related field - Ability to conduct a research project independently - Writing scientific papers and presenting work in