20 computational-physics-"https:"-"UCL" Postdoctoral positions at Nature Careers in Denmark
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). We seek an outstanding, ambitious, and highly motivated candidate with a PhD degree in chemistry (or equivalent), preferably with expertise in physical chemistry, theoretical chemistry or computational
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
Experience with image analysis Experience with coding and high-performance computing, for example in python, C, etc. Experience with polymer and/or block copolymer physics and/or chemistry Experience with
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
interdisciplinary center for research and education in quantitative genetics and quantitative genomics (http://qgg.au.dk/en). QGG is an international organization with 100 employees and visiting researchers from
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physically and functionally coupled across domains of life. The project will involve working with syntrophic deep-sea consortia, performing strictly anoxic physiological experiments, and developing electrode
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origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami robots for cell factories (yeast
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central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial scientific
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
to quickly and accurately identify their subtype. At present, patient subtypes are decided using only clinical observations, and the process is highly suboptimal. For example, the available subtypes are often
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong