15 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"ISCTE-IUL" positions at Erasmus University Rotterdam in Netherlands
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. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness in Machine Learning. Retrieved from https
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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data
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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and
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marketing, and statistics is a strong advantage. • Excellent verbal and written communication skills in English; Dutch is strongly preferred. • The ability to adapt and learn quickly, work independently, and
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strong organisational skills Excellent computer skills, especially the usage of Microsoft Office applications Specific Skills Students must have successfully completed at least 2 years of an undergraduate
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considered an advantage. Technical Skills Proficiency in MATLAB, Python, and/or R. Experience with data science frameworks (e.g., AI, LLMs). Familiarity with machine learning (e.g., scikit-learn, MVPA, RSA
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do not possess a formal teaching qualification, are expected to acquire it within two years (according to the standards of the so-called BKO-University Teaching Qualification); Ability to, and
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on peer learning, exchange of experience and innovation. • Improve the visibility, accessibility and inclusiveness of international opportunities for students and staff, with particular attention
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answer to the following questions (max.1 A4 in total): What makes you interested in this job vacancy; what do you wish to bring and what do you hope to learn in this position? Give an example of a
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of conferences, workshops or public events. Dutch and English: knowledge of both languages at least at C-1 level: the candidate is expected to be able to teach in both languages. Teaching experience: UTQ is