19 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Erasmus University Rotterdam
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the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
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message in which you confirm your availability over the time period indicated above. A full motivation letter is not necessary, • Your CV, • A “Study Progress Overview” generated by Osiris (see https
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online learning platform Canvas, preparation of each programme (ordering catering/books, booking hotels for faculty, preparation of lecturer contracts and preparation of class materials), instructor
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description This project addresses the effective design of a military supply logistics network, composed of transportation and communication links such as roads and rail, aerial drone routes, and nodes, such as
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different companies and restaurants. The office is easy to reach by public transport as well as by car. RSM BV is an equal opportunity employer and explicitly encourages applications from candidates of all
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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