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, Data Science, or a related field. Strong background in Natural Language Processing (NLP), Machine Learning, or Explainable AI (XAI); Experience with deep learning frameworks (e.g., PyTorch, TensorFlow
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intelligence and big data in entrepreneurship: a new era has begun. Small Business Economics, 55, 529-539. This is what we ask of you Master’s degree in business administration/management, computer science
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frameworks like RHEOS software, FEM models and machine learning concepts for large data sets generated will be explored with collaborators. Micro and Nano Engineering This position is embedded within
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of methodology for data mining, machine learning/deep learning, data fusion, and modelling and application of these methods to answer biological questions. Novel methodology for the analysis of single-cell
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will work closely with the other PhD candidates and researchers who are part of the HLAS project. Moreover, the project offers a unique opportunity to work in an international environment and to acquire
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will work closely with the other PhD candidates and researchers who are part of the HLAS project. Moreover, the project offers a unique opportunity to work in an international environment and to acquire
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our research team in cryptography. The ideal candidate will have a strong background in mathematics, computer sciences, engineering, or a closely related field. The candidate must be highly motivated
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processes feed back into and inform innovation generation processes (e.g., the development of innovative startups)? This PhD project aims to leverage quantitative data and statistical methods to gain a deeper
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to perform within project timescales. - Competences in data analytics, machine learning / AI (for example in Python and relevant machine learning libraries), as well as interest and ability to expand
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options, within the supervising and organisation teams, but also within the extensive project partnership, able to perform within project timescales. Competences in data analytics, machine learning / AI