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qualifications: As a formal qualification, you must have a master’s degree or PhD degree (or equivalent) in engineering or equivalent within the area of bioinformatics, computational biology, or a related field
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will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include Advancing equivariant neural network potentials
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together a large network of European stakeholders across universities, industry, training providers, and policy organisations, with the goal of strengthening Europe’s quantum talent pipeline and accelerating
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Experience with pathways and complex networks in cell biology Finally, applicants should: Be curious and ambitious Take pride in being a good colleague and scientist Who we are The laboratory is located
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The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
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on Nanoparticles You will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include: Advancing equivariant neural network
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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Postdoc position within antibody engineering and therapy in Parkinson’s Disease We are seeking applicants for a 2-year postdoctoral position in Daniel Otzen’s research group at iNANO. This is a fix
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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
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas