Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Aarhus University
- Nature Careers
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Aarhus University;
- Graduate School of Arts, Aarhus University
- University of Southern Denmark;
- ;
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- COPENHAGEN BUSINESS SCHOOL
- European Magnetism Association EMA
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- 9 more »
- « less
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Social Sciences
- Science
- Environment
- Materials Science
- Business
- Humanities
- Arts and Literature
- Electrical Engineering
- Psychology
- Linguistics
- Earth Sciences
- Education
- Philosophy
- Physics
- Sports and Recreation
- Statistics
- 13 more »
- « less
-
main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study
-
at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
-
with teamwork in a great team Additional information Your place of work will be the AU International Centre at Høegh Guldbergs Gade 4a in Aarhus. The position is paid according to state agreements. Who
-
conducting various types of experiments on seeds of diverse crops. Experience of image analysis, and analysis of seed longevity and germination data will be an advantage. You should have good organizational
-
characterization, dual-comb applications, numerical simulations, and data analysis. You will play a leading role in disseminating research results and actively participate in collaborative projects. You will also
-
materials, (d) Artificial Intelligence (AI) models to predict and control the construction process, (e) a digital twin / information backbone that enables cohesive operation of the design and production
-
decarbonization challenges at regional, national, and international levels. For more information about SDU LCE, please visit www.sdu.dk/lifecycle . Qualifications We are seeking a candidate with a master’s degree
-
using signal changes to learn about the weather and take appropriate action. By combining AI with physics and real-time data, the project improves weather forecasts and makes communication systems more
-
integrated circuits, which may include: design, simulation, and experimental validation of analog and mixed-signal integrated circuits and systems; low-power and high-performance data converters, sensor
-
., cloning) and/or genome engineering Experience with mammalian cell culture (cell lines; experience with primary immune cells is an advantage) Experience with Programming/data analysis skills Interest NGS