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Managing and leading change towards future education Technology-driven education innovation Cooperative and work-intergrated education The Department of Educational Studies (EDS), where this position is
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software development. E3 Experience in training deep learning models in research projects at scale. E4 Experience of applying good software engineering practices including but not limited to devising and
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approaches across a range of model organisms to understand how and why we age. As a PhD candidate at FLI, you’ll be part of an international and interdisciplinary environment where basic science meets
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The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food
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, and/or data-driven modeling Interest in interdisciplinary research and open science. LanguagesENGLISHLevelExcellent Years of Research ExperienceNone Additional Information Benefits The successful
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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rates, • Work in a friendly, collaborative and productive environment, • Mentor and teach highly motivated students, • Be part of a mission-driven institution, • Live affordably in a central location with
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to new or emerging opportunities. Evaluate cost structures related to faculty workloads, staffing models, classroom utilization, instructional technology, and program delivery to provide insights around
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), regulatory science, pharmacometrics, and real-world evidence (RWE). The successful candidate will develop AI-driven systems to support regulatory document intelligence, automated pharmacokinetic modeling, and
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UPOs PhD enrolment: Université Paris Cité DC15: Hybrid machine learning models for data-driven bioprocess optimisation PhD enrolment: University of Padua Eligibility Requirements: Doctoral Candidates