Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of materials and devices during switching, combining methods such as laser pump and X ray probe total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real
-
Validation; Data Engineering, Science, and Systems; Distributed Sustainable Software and Systems; Formal Methods for Security and Privacy; Foundations for Interacting and Computing Systems; Human Augmentation
-
in Microbiology, Pharmaceutical Sciences or a related biological discipline, combined with formal academic training (e.g. an MSc or postgraduate diploma) in Bioinformatics, Computational Biology or
-
Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
: Multiscale Modelling : Experience in bridging atomistic and multiscale modelling methods and integrating them with machine learning for computational materials design and discovery. Experience in working with
-
Management. The 12-month stay is mandatory by the design of the position. Alongside the research project, the PhD candidate completes the formal requirements of the Doctoral School (~30 ECTS of coursework
-
with PCR-methods and other molecular methods. The candidate should have experience with development of protocols for molecular assays, and preferably also for working with growing virus in cell cultures
-
these technologies and methods into research and teaching. The successful applicant will be expected to develop research projects that result in peer-reviewed publications. The successful applicant will also be
-
populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
-
populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
-
, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially