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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent
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the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment fully embodying
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the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment fully embodying
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of writing; You have an interest in / affinity with colonial history and languages; You have experience with or are willing to learn about early modern archival sources; You have full professional working
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of related events and activities. In addition, they may be given a temporary appointment at the University to design and teach an undergraduate course in the general area of their interest. Requirements A
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preferably have experience working with cyanobacteria Candidates should have excellent written and spoken English skills and be willing to acquire sufficient proficiency in Dutch Candidates are expected
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geographical locations within the Netherlands, and to acquire skills by active participation in science communication activities, interacting with public audiences and taking part in a pilot programme where
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://www.universiteitleiden.nl/en/science/mathematics . What you bring The successful candidate is expected to have: A master in statistics, (applied) mathematics, machine learning or a closely-related quantitive discipline (to
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join a research team focused on the female lifespan, consisting of PhD students and postdocs who study how hormonal fluctuations affect neurocognition and mental health in girls and women aged 9–60
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. EAAS is hiring a total of 20 PhD/postdoc scientists to join the team, and our project/group leaders share the ambition of gender parity in hires across EAAS. If selected for this position you are