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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
these habitats. The position will primarily involve pre- and post-monitoring of state-of-the-art conventional restoration approaches and the development of sustainable, nature-based restoration approaches
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submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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. Your competences You have academic qualifications at PhD level. Candidates can have a background in a (bio)medical discipline (incl. medicine or dentistry), medical physics, computer/data science
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of reference received after the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title
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. An innovative and meaningful workplace where creativity is valued Support for international staff and families, including relocation services and an Expat Partner Programme. Internationally competitive salary and
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strong background in computational condensed matter physics. Experience with first-principles electronic structure methods and scientific programming is expected. The ideal candidate is highly motivated
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the development of sustainable bioelectrochemical technologies. The positions are part of the Microbial Electrochemical Methanation Initiative, a large collaborative research program funded by the Novo
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work