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. The application of fibre-drawing methods in battery manufacturing is disruptive, placing this research at the forefront of innovation. The project involves a multidisciplinary team with researchers from
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diagnostic methods for heavy menstrual bleeding. They will work closely with clinicians, research nurses, and study participants to integrate laboratory and clinical aspects of the project. Responsibilities
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experimental research groups that use a wide variety of methods to study photochemical processes. Essential Duties and Responsibilities: Perform computation studies using quantum chemistry software Develop and
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that integrates glycoproteomics, glycomics, and immunological data. The role involves developing novel methods for immunogen glycosylation and establishing new experimental pipelines. You’ll publish in leading
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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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. The Role You will lead innovative research that integrates glycoproteomics, glycomics, and immunological data. The role involves developing novel methods for immunogen glycosylation and establishing new
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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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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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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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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