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Field
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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sciences, Applied Mathematics or Physics, and related. Admission Requirements: Candidates must hold a master’s degree in one of the aforementioned scientific areas and be enrolled in a PhD program or in a
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across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and
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to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/index.html Advanced statistical and quantitative skills
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preparedness. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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- 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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PhD Positions Application Deadline 11 Mar 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 25,61 Offer Starting Date 1 Jul 2026 Is the job
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after the start of the research project leading to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship