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professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department
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, 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 and salary range Natural
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2-year postdoc position within physiological effects of vitamin D on immune and inflammatory resp...
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, place of work, and email
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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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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Energy at Aalborg University (AAU Energy) invites
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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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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