Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
from 150 nations, located on the border where Switzerland, Germany, and France meet. A large number of institutions for biomedical research, with numerous possibilities for training, networking, and
-
planning of industry exchanges to promote knowledge transfer in the AEC industry. Other obligations, such as teaching, defined by the fellow’s hosting professors should also be fulfilled and should not be
-
and biomedical science. Job description Design and develop mechanical and electronic subsystems for an automated bioprinting platform Integrate hardware and software systems for coordinated control and
-
to understanding the innervation landscape of peripheral tumors and its role in immuno-oncology. We are particularly interested in candidates who have previously worked on cellular and molecular networks underlying
-
for the position: Solid knowledge of machine learning, particularly for time series analysis and event detection Solid programming skills in C#, C++, or .NET-based languages (in addition to Python) Experience with
-
upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
-
/Grasshopper), manufacturing (CAM, e.g., Fusion 360) and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in additive manufacturing, structural design and related research (e.g., parametric
-
, computational science groups/network/community, and data platforms. PhD programs: Department of Biosystems Science and Engineering, ETH Zürich Questions can be directed to: ihbglobal@roche.com Please submit your
-
Developmental Medicine will probe and integrate multi-omic data sets (i.e. genetic, epigenetic, transcriptional and metabolomic data) to create computational models defining the molecular signatures underpinning
-
privacy. However, un-conditional security requires the use of entanglement to establish non-classical correlations between communicating nodes, thus robust quantum networks and a future quantum internet