Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
approaches, you will investigate how gene expression variability drives drug-tolerant subpopulations. This role sits at the intersection of molecular genetics, chemical biology and data science, with strong
-
student projects). Qualification You should have a background within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas
-
management Designing infrastructure solutions for hosting new research platforms and services Supporting emerging workloads such as AI, large-scale analytics, and data platforms Improving monitoring, logging
-
Job Description Are you motivated by physics challenges that, if they are solved, may have a large impact on what science can be done in the future? Do you enjoy the principles of optics? Do diverse
-
-of-the-art laboratories and equipment available for you, including a large facility for ceramic shaping and processing. We collaborate with other departments, and with colleagues around the Globe. We have many
-
, South Asia, and Sub-Saharan Africa to build a comprehensive Biosolutions Development Pipeline spanning discovery, characterization, fermentation, formulation, and large-scale field validation to speed up
-
on modelling the effects of small insertion and deletions. The candidate will also help with data management tasks for the database of variants effect that we are maintaining at DTU. We are looking for a
-
the initiative over the coming decade. Applicants with an interest in numerical modelling of large‑scale wind processes – especially experience with PALM‑4U – and their relevance for wind‑engineering applications
-
activity at room-temperature. As part of this large project, we are looking for a postdoc to help us fabricate and characterize high-mobility magnetoresistive devices and turn these into high-performing
-
recognition modules into functional immune cell therapies. The project is part of a large team that also allows close integration of AI-guided design and experimental validation. Responsibilities and