46 jobannoncer matcher din søgning 46 jobannoncer fundet

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.

PhD scholarship in Cryptography – DTU Compute

We are looking for a bright, ambitious, and motivated PhD student to join the cryptography group in the Cybersecurity Engineering Section.

The goal of the PhD project is to improve the state of threshold post-quantum cryptography.

Your main task will be to design new threshold cryptographic algorithms with post-quantum security.

Senior Scientist - Enzyme Development - Animal Nutrition and Health

Would you like to be part of a world leading international team developing groundbreaking enzyme solutions for Animal Nutrition and Health?

You will join dedicated project teams and work with leading scientists from around the world on new enzyme-based products for major global companies. And you can apply world class industrial bioscience competencies to generate new sustainable solutions for Animal Nutrition and Health.

Postdoctoral positions in Sustainability, Genomics, Microbiology, and Bioinformatics/Data Science - DTU Biosustain

DTU Biosustain is actively seeking candidates for postdoctoral roles in fields such as sustainability, genomics, microbiology, and bioinformatics/data science.

We welcome applications from researchers in these or related fields, especially those focusing on large-scale data integration using advanced technologies (e.g., long-read, single-cell, microscopy, metabolic) for sustainable food and agricultural production.