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. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence microscopy, CRISPR-mediated gene editing, protein structure prediction, structural modelling, transmission
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, lipid metabolism, and gene regulation. We investigate: Lipid metabolism of the nuclear envelope Nuclear pore complex architecture Chromatin-associated signaling pathways As one of our model systems, we
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of millions of lakes worldwide. The successful candidate will create innovative solutions that significantly enhance large-scale environmental simulations and meaningfully advance the modeling of global lake
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for scientific advances in tackling global societal challenges. Managing national research infrastructure is part of the Helmholtz Association's mission. Promoting young academics Helmholtz scientists, a high
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Luxembourg Institute of Science and Technology is at the forefront of advancing structural composite materials and their applications. As part of our ongoing efforts in this field, we are excited to announce
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together with both Danish and international colleagues. Your main tasks will consist of: Solid state synthesis of advanced materials. Crystallization of and out of molten salts and ionic liquids. Structure
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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Are you motivated to turn advanced research into real-world solutions for climate-smart sustainable soil management? Join us at Aarhus University's Department of Agroecology as a postdoctoral
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on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand