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glycan arrays, engineered glycans, influenza binding assays, and—depending on expertise—molecular biology, enzymology, biochemical assays. Collaborative environment: you will join a multidisciplinary team
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requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process/ . Applicants should ensure
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knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux systems and High Performance Computing Good oral and written presentation skills in Norwegian
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processes in clinical practice. The project has been pre-selected by the Scientific Advisory Board (SAB) of the CarrrerasPathfinders program based on excellence, impact, its triple-I dimension
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research exploring the processes controlling tropospheric composition (gases and particles) and their intersection with global change. Research makes extensive use of global modeling tools (GEOS-Chem and
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disturbances and COPD pathology, and explore how targeted nutritional and pharmacological interventions may influence this process. PhD Candidate in Metabolic Inflammation and COPD Our goal: to better understand
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in the interplay between wireless systems and Artificial Intelligence. Experience with one or more of machine learning, wireless communications, signal processing, multimodal sensing, robotic
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on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 43. Questions For specific
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engineering in a unique way. The Atomic Scale Processing group (Prof. Miika Mattinen) in the Department of Chemistry and Materials Science (CMAT), is now looking for: Doctoral researcher (PhD student) in thin
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interaction maps with mammalian cells 2. DNA-based artificial cells and molecular computing We will engineer DNA-based artificial cells and condensates that can sense, process, and respond to molecular signals