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learning mechanisms that drive the common association between chronic pain and insomnia, generating insights with direct impact on clinical practice and patient wellbeing. PhD Candidate Cognitive and
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analytics. This PhD project focuses on methods development to support pharmacovigilance using real-world data (RWD). You will define, implement, benchmark, and validate workflows for reliable detection and
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6G and beyond. The project combines analytical modelling, system simulation, photonic integrated circuit design, machine learning, and experimental validation using state-of-the-art communication
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technologies such as sensing, data analytics, modelling, and AI to turn scientific research into real-world impact. You’ll join an open, supportive environment that fosters learning and professional growth. Job
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are leading internationally in their respective disciplines and provide an exciting and collaborative environment, with room to learn and develop professionally at the frontier of academic research. You will
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analytical skills, initiative, creativity, and flexibility are highly desired. A MSc degree in Mechanical Engineering, Materials Science, Aerospace Engineering, Applied Physics, or similar, with a strong
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translational axis, this is your place to be. Our ideal candidate holds accuracy and precision in high regards, possesses strong analytical and critical thinking skills and excellent communication skills
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an advantage; has experience with quantitative research methods and statistical analyses; experience with qualitative research is considered an advantage; has strong analytical, organisational and problem
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master's degree in computer science, mathematics, or related subjects. A solid background in cryptography, algorithms, discrete mathematics, or a related area. Strong analytical and problem-solving skills
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of flexible energy resources (e.g., heat pumps); knowledge of mathematical modelling, optimization, machine learning, or data analytics (experience in one or more is desirable); strong scientific programming