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more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Profile You have an MSc in computer science, applied mathematics, artificial
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
performance in core mathematics and machine learning courses Master’s degree (or near completion) corresponding to at least 240 higher education credits in mathematics, computer science, electrical engineering
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and the Study of Religion Psychology and Educational Sciences Cultural Studies Languages and Literatures Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology
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. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together we will explore two
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link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring
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through our Molecular Life Sciences programme. Your qualities You have (or will soon complete) a Master's degree in Molecular Life Sciences, preferably (structural) Biochemistry or Molecular Biology. You
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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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position. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further
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equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Equality, diversity and inclusion is fundamental to the success of RAINZ CDT and is at the heart
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
of operation and power requirements. Applicants should have a First or strong Upper Second-class honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics