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Applications must be submitted by Monday July 20, 2026 at 16:00 (Europe, Helsinki) using the University's electronic application form. The application should be written in English and include, in PDF format: A
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because transition studies have focused on small organizations on emerging sectors and management studies have all but neglected the organizational form. SUSTRACOOP conceptualizes the role of cooperatives
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foundation in cybersecurity and adversarial machine learning. Excellent analytical and problem-solving skills. Good communication skills in English (written and spoken, e.g., with a valid International English
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theoretical philosophy at the University of Helsinki (up to 5% of their working time annually), and assist in preparing new research proposals. In practice the teaching load is one course a year and supervision
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research experience in immunology, vascular biology, and/or cancer biology Ability to work both independently and collaboratively Excellent written and spoken English skills A strong scientific publication
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. Your goal is to produce world‑class research results, in collaboration with other group members in the lively environment of the MQS group, and to publish them in high‑impact journals. In
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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
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the following: Courses taken and background in some of the following areas: Advanced composites, Adhesion and surface modifications, Finite element methods, Materials modelling, Micro-test methods, Electronics
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, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form of high-quality scientific publications, experience working with real-world health data is a plus