Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
technologies and data analysis as well as research management, oral and written communication and networking. Access to state-of-the-art equipment and facilities, e.g., sequencing, proteomics and bioimaging. A
-
, embedded and cyber-physical systems, data-intensive systems, AI, planning, networks, programming theory, and security. Applications span areas such as energy, transport, health and water. The department
-
. Knowledge of health care systems, healthcare access inequalities, and health disparities, preferably within a Danish context. Experience with advanced statistical data analysis. Having experience with health
-
development. Training in state-of-the-art omics technologies and data analysis as well as research management, oral and written communication and networking. Access to state-of-the-art equipment and facilities
-
, preferably Reinforcement Learning (e.g., Q-learning, Deep Q-Networks) or other control algorithms. Proficiency in Python, MATLAB, or similar for data analysis, modeling, or AI implementation. Strong written
-
. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication. Participation to international conferences to facilitate successful integration
-
a vibrant research environment supported by robust infrastructure and extensive collaborative networks. Expected start date and duration of employment This is a 1–year position from 1 September 2025
-
vibrant research environment supported by robust infrastructure and extensive collaborative networks. Expected start date and duration of employment This is a 1–year position from 1 September 2025 or as
-
. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal in driving AI innovation and contributing to a transformative approach to
-
), robotics and computing, construction production processes, and life cycle and sustainability analysis (LCA). The successful candidate will be responsible for conducting cutting-edge research in the field