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combination of infrastructure, scientific expertise, and collaborative model, the VIB Agro-Incubator functions as an international catalyst for advancing cutting edge agricultural biotechnology and is well
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, Smart City, Matter, Brain, and related interdisciplinary areas. Research fields of particular interest include, but not limited to: • biomedical science and engineering • veterinary science
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and approved globally. We are driven by clinical challenges and focused on fundamental methodological breakthroughs. Your work will position in-silico technology as a mainstream approach to eliminating
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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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. Experience with AI/ML algorithms and prediction model development. Familiarity with data structures, algorithms, software engineering best practices, and computational efficiency is highly desirable
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data, and engineering models to determine why failures occur in complex machines such as heat pumps and chillers. You also support the STFES (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be
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Business Models and Digital Transformation AI and Automation for Business Decision‑Making Technology‑Enabled Innovation and Digital Strategy Application of leading industry tools such as Microsoft Power BI
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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mouse models, in close collaboration with the Bentires Lab at the University of Basel. This PhD project is fundamentally driven by hands-on experimental in vivo mouse work; therefore, candidates must
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and