Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Susquehanna International Group
- Chalmers University of Technology
- Cranfield University
- University of Newcastle
- CWI
- Ghent University
- The University of Iowa
- Utrecht University
- ;
- ; University of Sheffield
- ; University of Warwick
- Aalborg University
- Duke University
- Leibniz
- Leiden University
- Linköping University
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- McGill University
- NTNU - Norwegian University of Science and Technology
- National Research Council Canada
- Nature Careers
- Norwegian University of Life Sciences (NMBU)
- Swedish University of Agricultural Sciences
- The University of Chicago
- Umeå University
- University of Central Florida
- University of Copenhagen
- University of Oslo
- University of Texas at Austin
- Wageningen University and Research Center
- 22 more »
- « less
-
Field
-
and computational abilities • Demonstrate excellent programming ability in languages such as MATLAB or Python • Excellent communication skills across multiple disciplines • Excellent academic
-
Professor Appy Sluijs, and close collaboration in this project will be with Dr. Peter Bijl. Multiple others will be involved for specific aspects of the project, including several scientists involved in
-
, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
-
tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing research papers and policy reports. Participate in meetings with collaborators and
-
: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
-
Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
-
hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
-
research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
-
/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
-
the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout