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the following: Study and optimise microfluidic system and conditions to deliver nanoparticles (NPs) to the surfaces and study their interactions under different conditions; Analyse data from microscopy images and
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parental leave usage across different population groups and how the use of leave has changed over time and in various social environments: workplaces, residential areas, and extended family networks
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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) (Reference: 24-STB-PB4-PD) Understanding how different Earth system components affect the variation of life forms and how this diversity of life impacts tectonic, geomorphic, and climatic processes at various
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relevant for the postdoc project. - previous knowledge of exploring datasets on forest production, carbon cycles and/or biodiversity -very good command of the English language, both written and spoken
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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make a difference in the world! Position Information We are seeking a postdoctoral position focused on the development and deployment of computer vision and intelligent robotic systems through physics
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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project will focus on developing schemes for controlled peptide translocation through nanopores by use of electro-osmotic (EOF) flow that is generated by DNA origami. We will study this EOF and EOF-driven
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Postdoctoral researcher for studying in vitro transport across the nuclear pore complex Job description The selective control of import and export across membrane-spanning pores is vital for our