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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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Participating in the CRC 1450 graduate school and presenting research findings at internal meetings and international conferences REQUIREMENTS: A Master’s degree in Physics, Computer Science, Biomedical Imaging
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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, crystallization, or molecular aggregation/switching. The BEAM projects cover a wide spread of topics, including theoretical physics and chemistry work. For example, our targeted syntheses are supported by models
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: Candidates must have (or be close to completing) a Master’s degree in (Bio)physics, (Bio)chemistry, Bioengineering, or a related field, with expertise in: Single-molecule fluorescence methods and assay
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leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training program in risk assessment, resilience engineering, and smart technologies. Its
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investigate online feature engineering, continual learning and uncertainty quantification. Balance performance with governance. Projects will evaluate risk-adjusted returns alongside interpretability
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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level equivalent to a two-year master's degree in Electrical Engineering, Computer Science, Robotics, Safety Engineering, or related fields. Approval and Enrolment The scholarship for the PhD degree is