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initiative in a learning environment, and we provide excellent training opportunities. We are offering a multi-faceted position in an international environment with a pleasant and open working atmosphere. You
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and consciousness, and on hardware technology. The key objective of this position is to develop software (mostly written in Matlab and Python) and acquire hardware to support ongoing PhD and postdoc
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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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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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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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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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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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