-
PhD students working on related topics, creating a highly interdisciplinary and supportive research environment in one of the largest cyber-deception groups in the world. Additionally, you will have
-
for analysis and dynamic configuration. Publish results in high-impact venues. Collaborate with academic and industrial partners in Shift2SDV. Co-supervise MSc and PhD students. Optionally contribute to teaching
-
evaluating organ histology Testing oxygen transport using a hemorrhagic shock rat model Analyzing and communicating your findings through publications and presentations Co-supervising MSc and PhD students
-
Job Description Would you like to put your mathematical and algorithm skills to work in a truly interdisciplinary project and be part of devising new sustainable cement formulations through improved
-
systems. Responsibilities and qualifications You will be responsible for mathematical modelling of dyadic and group interaction data (e.g., using coupled oscillator models), working with movement
-
-supervise MSc and PhD students. Optionally support teaching and proposal activities. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science
-
. Additionally, your resume must comprise: A PhD or equivalent Research experience in Software Engineering or Digital Twin & Digital Transformation Track record of publications. Ability to work collaboratively in
-
research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
-
mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
-
disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from bachelor's degrees to PhDs and support continuing education, all rooted in these scientific disciplines