Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
numerical simulations from spectral wave and ocean models to produce high-resolution historical and future climate data. We encourage candidates with domain knowledge of wave modelling to apply, as
-
31st July 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in Hydrological and Water Resource Modelling in the Himalayan
-
section. The PhD-position's main objective is to qualify for work in research positions. You will report to the head of Department. Duties of the position Developing numerical models to simulate the thermo
-
strategically important role in the shift towards a greener and more circular economy. Duties of the position Develop computational models and perform corresponding simulations to examine the behaviour and
-
The fellowship period is three years. The PhD candidate will work on the project entitled "Male Reproductive Disorders of Foetal origin – Development of an Organoid Model for Mechanistic Insight". Foetal life is a
-
; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
-
to buildings (either using simulations or real cases). Knowledge or previous experience with building automation is a plus. Knowledge or previous experience with database management, modeling, or engineering is
-
Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic conversion systems and/or optimization techniques. Experience and interest in experimental work
-
. These models will then be adapted and applied to other ComDisp case studies in the USA, Ecuador, and Turkey. The PhD candidate will be responsible for: • Developing, testing, and analyzing hybrid simulation
-
for: • Developing, testing, and analyzing hybrid simulation models. • Integrating empirical health data with computational models. • Collaborating with research partners in Vietnam and other ComDisp teams