140 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Belgium
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
holography to ultra-wide-angle, ultra-high-resolution holography presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new
-
-associated research lab Centre for Microsystems Technology (CMST) (Department of Electronics and Information Systems) and (b) Electrochemistry and Surface Analysis (ESA) (Department of Chemistry) at Ghent
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
who self-identify as belonging to vulnerable or minority groups are strongly encouraged to apply. Additional information For more information about the project, please click here . For more information
-
crystallinity beyond the limitations of SHG and conventional methods. Advance complementary harmonic imaging (CHI) by combining polarization-resolved SHG and THG to access structural information inaccessible
-
conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales All Ghent University staff members enjoy a
-
information about our salary scales All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis
-
) in order to communicate with and collect data in older adult participants. WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which
-
the sustainability and reliability of drivetrain systems by combining advanced simulation techniques with data-driven models. The project involves close collaboration with experimental facilities as well as simulation