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ongoing in-house research programmes, provide support to external users as local contact, and develop your own research programme focused on the interactions between biological membrane mimics at liquid
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Engineering, we are seeking a researcher with a strong interest in developing and applying machine‑learning methods for materials design, in particular steel design. The position is part of our growing research
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University Abu Dhabi (NYUAD), seeks to appoint a talented researcher with an excellent record of academic success for a Post-Doctoral Associate position. The research will focus on the development and use
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further develop and implement bioinformatic pipelines. For example, using AI we see opportunities to use the genomic data to train datasets for species identification and delimitation, such as image
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. The Hector Research Institute (https://uni-tuebingen.de/en/80946 ) is a nationally and internationally leading research center in education science and psychology. The Max Planck Institute for Biological
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an interdisciplinary team to develop and implement social science indicators focused on stakeholder and community well-being within the Central Plains. The other postdoc will be working within an interdisciplinary team
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information visit https://truttmann.lab.medicine.umich.edu/. Our group values curiosity, teamwork, community, and the desire for intellectual growth. We are looking for an individual interested in contributing
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-represented groups in physics. Application submission: Applications must be submitted via the following link: https://intranet.nanociencia.imdea.org/proceso-de-seleccion (Ref: 20260902 - Postdoctoral USQM
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College Cork (UCC) is looking for two highly motivated Post-Doctoral Researchers. The researchers will be employed on a technology development project in which UCC collaborates with two companies, Danalto
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data