Sort by
Refine Your Search
-
with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we
-
to study protein structure and function (e.g., X-ray crystallography, NMR, cryo-electron microscopy). Additionally, you will investigate how these proteins interact with each other and with various
-
140 PhD students at CSE. Your main supervisor will be Prof. Nir Piterman, with support from a co-supervisor and an examiner. Supervision is structured to guide your academic development, with regular
-
School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
-
novel structural biology techniques with the aim to understand membrane protein transport and regulation with applications in heart disease and antimicrobial resistance. The group has pioneered
-
application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
-
to effectively compile linear algebra expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in
-
, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Applied Physics and Electronics currently has around 100 employees and conducts research in
-
structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data