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Facilities. The successful applicant will join a vibrant and interdisciplinary project encompassing several theoretical and experimental research groups that use a wide variety of methods to study
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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or public health research. Previous experience of applying statistical methods to epidemiological studies, including causal inference methodology, is desirable. You will possess excellent organisational
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organisations, in partnership with the National Centre for Research Methods (NCRM) and the Office for National Statistics (ONS). Its objective is to deliver a step-change in survey research to ensure that it will
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of spectroscopic methods to study photochemical processes. Essential Duties and Responsibilities
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range of experimental methods including experimental cognitive psychology, psychopharmacology, psychophysiology and neuroscience methods to better understand the aetiology and treatment of mood and
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable maritime future. The Role
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and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft design. Proficiency in Python