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required. Language requirements Not required for the PhD programme Application deadline No deadlines For details, see: https://www.gradschool.physics.uni-bonn.de/applying/applying-for-phd-in-bonn-or-cologne
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intelligence, or similar) is essential for the PhD focused on ‘Technology’. Candidates should be highly self-motivated, able to demonstrate initiative and have a desire to learn, and able to work as part of a
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expertise. In addition, programme participants acquire a certain breadth in the field as they interact with fellow students, participate in PhD training sessions and attend lecture series featuring prominent
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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date Submit application to https://zuseschoolrelai.de/application/ Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set
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university, seeks top students for attractive PhD stipends. The call is open until 1 February, 2026, with the earliest start date, 1 May, 2026. Please find more details and apply at https://math.au.dk/en/about
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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science (for example, but not limited to, data science, machine learning, statistics, computer science, mathematics, etc.) acceptance by a PhD supervisor with examination admission for PDS and formation