Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
of environmental modulation on gametic and early developmental epigenome and epitranscriptome. The project uses next- and third-generation sequencing technologies to generate the data. Zebrafish is a model organism
-
elicitors (pathogen-derived molecules or environmental cues) trigger immune responses. While oligoguluronates enhance kelp defenses, they may disrupt biofilms protecting against epibionts, highlighting trade
-
advanced modeling and simulation methods than those used in current structural design. There is a potential of significant reduction in material used in large building designs. This leads to reduced CO2
-
selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
-
motion. Duties of the position During the PhD project the candidate will connect analysis and processing of sensor data from ships with models describing the local environmental state as well as its
-
26th May 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in Multiscale modelling of grain boundary failure in high-strength
-
project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
-
, and environmental sciences, is desirable. • Proficiency in programming languages and software commonly used in modeling (e.g., NetLogo, AnyLogic, Mesa, InsightMaker, etc.) is desirable. • Personal
-
14th April 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in AI in hydraulic modelling to predict critical locations