224 assistant-professor-computer-science-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers
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We invite applications for two fully funded, two-year postdoctoral positions in Materials Science, with a focus on the design and synthesis of sustainable, highly luminescent nanomaterials
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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have completed a Master’s degree and hold a PhD in a field relevant to forest sciences. Applicants should be eligible to apply for an ERC Starting Grant or the Emmy Noether Programme after two years
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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 in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
with the Department of Agroecology. More information can be obtained from Head of CROP HEALTH section René Gislum, rg@agro.au.dk : and Tenure Track Assistant Professor Jawameer Hama, jawameer@agro.au.dk
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. For further information please contact Professor Poul Nielsen, Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, e-mail: pouln@sdu.dk . The application must include the following
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Professor Tobias Weidner: weidner@chem.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman
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a master’s degree (if he/she applies for a position as research assistant) or a master’s and Ph.D. degree (if he/she applies for a position as a postdoc) in Bioinformatics, Computational Biology, or
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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The Microbiome Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention