400 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "CNRS " PhD positions in Netherlands
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at international conferences and publishing in peer-reviewed journals. You will be supervised by Dr Lennart de Groot and work closely with a postdoctoral researcher, who focuses on the data-driven development
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, Cybersecurity & Services SCS group at the university of Twente, under the supervision of Dr. Luca Mariot, Dr. ir. Thijs van Ede, Dr. Jair Santanna and Dr. Florian Hahn About the organisation The faculty
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mobilisation; producing academic publications and practitioner-oriented brochures. Supervisors: Promotor: Prof Dr Flor Avelino (Utrecht University) Co-promotor: Dr Jonas Colen Ladeia Torrens (Utrecht
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evaluates training programs to improve cognitive functioning in older adults and employees, and examines resilience, text comprehension, and stress in later life. Prof. Dr. Janna Cousijn investigates how
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Laboratory (in collaboration with Dr Suzanne Hangx) and the Porous Media Lab (in collaboration with Dr Amir Raoof) at the Department of Earth Sciences, to examine particle mobilisation thresholds, and how
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extensive validation and sensitivity analysis. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training
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About the Team In this project you will work closely together with a postdoctoral researcher and will be supervised by Dr. Dinant Kistemaker, Dr. Knoek van Soest, Dr. Maarten Bobbert and Dr. Maarten
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plan of how these challenges affect ML models. Develop models for relevant knowledge-intensive tasks (e.g. information extraction, summarization, reasoning, generation) on legacy data. Develop
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supervised by Dr Peter Verovšek (International Relations) and Dr Jason Resnikoff (Contemporary History), the selected candidate will identify their own interdisciplinary focus and interest within the broad
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industrial doctorate position is part of the Predictive Plan programme, aimed as a flagship project for changing planning and scheduling in high mix low volume (HMLV) production by leveraging hybrid AI, data