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Process To apply for the MPG-WIS Joint Postdoctoral Program, please follow the application guidelines below: Contact researchers at MPG (see list of institutions ; https://www.weizmann.ac.il/sites/mpg-wis
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scientific journals, Requirements: a master’s degree or PhD in physics, meteorology, geosciences or related fields relevant for Earth-system science, experience in climate/Earth-system modelling is recommended
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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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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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, Applied Physics, Plasma processing for materials. Experience and skills PhD in Materials Science, Applied Physics, Plasma processing for materials. 3 to 5 years proven experience in an international R&D
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influence the adaptability and evolvability of diploids and polyploids. Your profile You have a PhD in Computational Biology, Evolutionary Biology, (Bio)Engineering, Mathematics or Physics. You have expertise
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Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check our website: https://www.list.lu/ We are seeking to recruit a highly motivated Post-Doc Researcher (PDR
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preparing results for publication. Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, data science, computer science, bioengineering, physics, or a related field. A strong publication
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/articles/s42256-024-00821-x, https://pubs.acs.org/doi/10.1021/acs.analchem.5c06256, https://www.nature.com/articles/s41570-023-00570-2). The research is computational in nature but involves close