Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
++, Phyton, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in digital energy, and if possible, co-simulation frameworks such as FMI/FMU, will
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of machine learning and earth observation within the general study
-
, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
-
research in Time Series Analysis and Econometrics with focus on one or more of the following key research areas: Nonparametric estimation. Machine learning methods in econometrics and time series analysis
-
high-throughput reactor systems, combined with the implementation of a visionary data management strategy, will provide a unique environment for data-rich research supported by machine learning and AI
-
The Protein Research Group at the University of Southern Denmark (SDU) in Odense is seeking a skilled doctoral candidate (DC, PhD student) to join our team. This role is pivotal in supporting
-
to work independently and collaboratively within interdisciplinary teams. Background in cybersecurity, machine learning, AI, or large language models (LLM) is advantageous but not a requirement
-
Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
, Topology and Algebra Learning Experience Design Our department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across
-
Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
PhD degree in computer science, mathematics, or equivalent; has a research track record at a high international level, reflecting the academic age of the applicant; can teach and advise in
-
publication record relative to their career stage and a clear interest in interdisciplinary collaboration. Ideally, you also bring experience with machine-learning or hybrid modelling approaches, as