510 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CONSERVATOIRE-NAT" positions in Denmark
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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) and fourteen associated partners including six from industry and two start-ups. More information may be found on MICROSUNSET . To be eligible for a MICROSUNSET PhD-position, you must not have lived
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) and fourteen associated partners including six from industry and two start-ups. More information may be found on MICROSUNSET . To be eligible for a MICROSUNSET PhD-position, you must not have lived
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cell biology, protein chemistry and mass spectrometry, molecular microbiology and biophysics. For further information about the position please contact Professor Brage Storstein Andresen, PhD, FRCPath, e
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to assess cell performance evolution and degradation behaviour Investigating impurity-induced degradation mechanisms related to feed gases, system components, or cell materials Analysing experimental data and
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the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Timothy P. Jenkins
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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wide variety of services for international researchers and accompanying families, including a relocation service and an AU Expat Partner Programme . You can also find information about the taxation
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, reviewing of literature, experimental work, modelling, data analysis, writing etc. The project can to some extent be tailored to the candidate’s interests and expertise. The PhD student will follow courses
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental