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, you will be responsible for the maintenance and optimisation of our nanofabrication equipment. You will also instruct users to safely use the equipment and assist them in case of defects or disruptions
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organization. Our core activity is understanding and quantifying the soil-crop-environment continuum at both the process level and the agrosystem level. We achieve this through experiments and computer modeling
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and implementing software solutions, including embedded software. Implementing, training and deploying machine learning models Developing data processing and analysis pipelines Promoting best practices
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Amsterdam works like a well-oiled machine. We assist in logistics and help with realising educational programmes; we also aim to create a worry-free and unforgettable university experience for our students
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Experience with database technologies (RDBMS, NoSQL, RDF triple stores) Knowledge of semantic technologies (RDF, OWL, SPARQL, etc.) and knowledge graphs. Working knowledge of machine learning, deep learning
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human-computer interaction to establishing correctness of software. We play a crucial role in both bachelor and master programs on Computer Science and Engineering and support bachelor programs in Data
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many instances the use of technology to facilitate tax processes (whether it’s data analytics, blockchain or machine learning) is several steps ahead of taxing systems used by tax administrations
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-supervised computer vision, multiple instance learning, panoptic segmentation, and geometric deep learning; Strong programming and AI software engineering skills are essential, preferably in medical image
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. We always work at the crossroads of digital technologies and academic research with projects ranging from machine learning for climate science to GPU for high-energy physics or linked data for digital
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