162 data-"https:"-"https:"-"https:"-"https:"-"ODTÜ-GÜNAM" Postdoctoral positions at Nature Careers
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. This program offers a rare opportunity to combine methodological independence in artificial intelligence and biology with direct access to real-world clinical and translational research data, addressing global
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discipline The ability to independently design and execute experiments and interpret data Expertise in at least one of the following areas: Super-resolution imaging, including Stimulated Emission Depletion
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information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk@inano.au.dk . Application procedure Shortlisting is used. This means that after
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postdoctoral researcher, you will play a central intellectual role in shaping experiments, generating and analyzing high-dimensional data, and integrating single-cell insights with complementary datasets
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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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research results to various communities and a wider public Academic self-administration For questions and further information, please contact Your profile PhD in Inclusive education, with a focus on at least
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental