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level. Join our team and strive to broaden our research portfolio! The challenge There is huge potential to benefit from the increasing availability of (big) data in the transportation domain. A wide
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working on generative information retrieval; Experimental skills: You have strong programming skills and experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and have run large-scale
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microscopy (LFSM) and the experience in computational data science to handle the resulting large 3D datasets. We are looking for an enthusiastic and creative team player with good communication skills, who is
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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OSI layer 1-3 network equipment through command line interfaces is a plus. experience with virtualization, containers, and large-scale deployment (e.g., Ansible) is a plus; experience with data
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, data science) can also apply Experience with conducting meta-analyses (methodological and field-specific knowledge) Experience managing large and complex meta-analytic datasets Ideally, knowledge
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relevant innovation. Information Protein tumor markers (TMs) in blood offer a promising, minimally invasive approach to support clinical decision-making in lung cancer. However, their broad clinical
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& Research is the university and research centre for life sciences. The themes we deal with are relevant to everyone around the world and Wageningen, therefore, has a large international community and a lot to
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OSI layer 1-3 network equipment through command line interfaces is a plus. experience with virtualization, containers, and large-scale deployment (e.g., Ansible) is a plus; experience with data
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sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural sciences. Our teaching and research have a