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individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may
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the form of a research course report or master’s thesis; Good programming skills. Preferably you have provable experience with deep learning; software (e.g., Pytorch, Jax, Tensorflow) and large-scale
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. These institutes offer eight bachelors’ and twelve master’s programs. The faculty has grown strongly in recent years and now has more than 2500 staff and over 6000 students. We are located at the heart of Leiden’s
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international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website. All our PhD students
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programming skills, particularly in Python; Self-propelled and creative; Excellent written and oral communication skills in English; Dutch proficiency or willingness to learn is a plus; Strong ability to work
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activities are organized in eight institutes. These institutes offer eight bachelors’ and twelve master’s programs. The faculty has grown strongly in recent years and now has more than 2500 staff and over 6000
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communicative team player; Experienced with writing scientific manuscripts and academic writing skills; Excellent programming skills (Python and ML packages); Interested in participating in educational activities
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Computer Science, Artificial Intelligence, Machine Learning, or a related field; Strong background in image processing, computer vision, and deep learning; Excellent programming skills (Python preferred), with
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University. You will participate in the education and supervision program of the Leiden Graduate School of Science and assist in relevant teaching activities. Selection Criteria The successful applicant should
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Strong programming skills in Python (please mention your level of proficiency and knowledge of other programming languages in your CV and motivation letter) Extraordinary motivation for scientific work