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Field
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Do you enjoy working as a PhD on search for the extremely rare process of ttHH production in LHC Run-3 data? Or are you interested in focus on the reconstruction of two-Higgs decay channel into a
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motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial intelligence. About the project Vulnerabilities in software products continue to be a major
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limitations —driven to explore solutions that go beyond what verification alone can achieve. This PhD project focuses on developing analysis and program repair techniques that enhance software interoperability
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to the critical role that these systems play in ensuring reliable, safe, efficient and comfortable vertical transportation of people and goods, their inspection strategies, safety assessments, and certification
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for the extremely rare process of ttHH production in LHC Run-3 data. This search will include all tt final states, and will include boosted final states. The analysis strategy is strongly focused on advanced machine
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work
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design, open science practices) and data analytic abilities (for example, meta-analysis, simulation studies, multilevel and/or mathematical modeling) In-depth knowledge of (statistical) programming tools
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engineering, applied physics, or applied mathematics, with proven experience (courses, projects, and work experience) in the field of wind energy or aerospace engineering. A combination of good mathematical and