Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
-
programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
-
points Participating in active research environments including a stay at another research team Obtain experience with teaching or other types of dissemination related to your PhD project Teach and
-
work situations (strategic time managing); be flexible to adjust one’s own behavior and thinking according to the (relevant/local) context so as to attain the desired goals (learning ability) Language
-
can have a background from experimental and theoretical quantum opto- or electromechanics, nanomechanics, NV magnetometry and imaging, and low-temperature techniques. We are looking for individuals
-
system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models and machine
-
related to digitalization and/or AI Military leadership Leadership in relation to the climate challenge The center is located at Department of Political Science, and it includes researchers from many
-
PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
. Our focus areas include drug delivery, cell mimicry, and tissue engineering. Learn more about our work: www.healthtech.dtu.dk/3bs . About the project: Artificial red blood cells Blood transfusions
-
have been responsible for You can learn more about the recruitment process here . Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender
-
. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics