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PhD scholarship in Bioinformatics of the Glycosylation Machinery of Archaea - DTU Bioengineering

DTU Bioengineering seeks a qualified candidate for a fully funded 3-year PhD position within Bioinformatics Based Mapping of N-Glycosylation of Proteins in Archaea. The PhD project is part of a Marie Sklodowska-Curie doctoral training Program, GLYCO-N, funded by the EU (MSCA Doctoral Network).

The PhD project is thus part of a bigger interdisciplinary research effort that aims to 1) Understand the diversity and structural complexity of archaeal, microalgal and viral N-glycosylation and 2) Harness this knowledge for new solutions in biomedicine and biotechnology.

Senior Scientist, Infectious Disease Vaccine Discovery and Research

You will conduct various laboratory activities with the primary goal of producing reliable test results and optimizing lab procedures while adhering to correct procedures as well as health and safety guidelines. The role also includes documentation and reporting of results both in writing and in different forums.

You will work with dedicated colleagues in an inspiring and fast-moving environment with a collaborative and innovative spirit.

PhD scholarship in digitalization of polymer-based battery electrolyte development - DTU Energy

If you have the ambition to build your scientific career at the forefront of cutting-edge research and contribute to accelerating green transition via digitalization, we have a perfect PhD opportunity for you.

You will work on a project to design fluorinated polymers prepared through light-induced polymerization. The design space for finding the optimal composition and synthesis conditions for polymer electrolytes is too vast to explore manually. Therefore, we are combining self-driving labs, high-throughput atomic scale simulations, and AI to transition to digitalization-based automation of electrolyte development.

PhD scholarships (2) on Theory, Fabrication, and Optical Characterization of Subdiffraction Photonic Cavities – DTU Electro

DTU Electro are looking for two bright and motivated PhD students within subdiffraction cavities based on silicon bowties with the overarching goal of exploring new regimes of light-matter interaction.

The first position includes a strong element of nanofabrication but numerical design, theory, and optical measurements are important as well. The second position will be focused mainly on design, theory, and optical measurements.

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

• Develop novel methods for uncertainty quantification in deep learning.
• Work with state-of-the-art nerual network architectures applied to molecular data.
• Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.