14 optimization-nonlinear-functions-"Prof" PhD positions at Nature Careers in Denmark
Sort by
Refine Your Search
-
aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
-
The Ravnskjaer lab at the Functional Genomics & Metabolism Research Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, invites applications from outstanding
-
the department’s expertise in plasma heating. Key responsibilities include: Leading the design, operation, and optimization of heating systems, including electron cyclotron (gyrotron-based), ion cyclotron, and lower
-
charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students working collaboratively
-
PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
. Sci. U.S.A., 122, e2420721122 (2025) Place of work: Protein Research Group (Assoc. Prof. Thomas J.D. Jørgensen), Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense
-
technology, positioning your career for long-term success and global scientific impact. Your primary role will be to pioneer and optimize advanced electron-beam lithography techniques to demonstrate reliable
-
assistant is a fixed-term scientific position of 6 months. If you have hands-on experience with analytical chemistry and laboratory techniques and experience with troubleshooting, optimization of laboratory
-
Denisovans. While Neanderthals and Denisovans are now extinct part of their DNA still lives on in our genomes due to introgression. By reconstructing the genomes of these extinct archaic humans we can answer
-
to site-owners, legal permits, and procurement of new devices in pilot work. Responsibilities and qualifications You have a PhD in Chemical Engineering or similar, and you have a strong experimental
-
programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient