Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of furniture/equipment Picking up necessary supplies, packing regulated medical waste, responding to floods and other emergencies. Wearing protective clothing, as required Removing soiled linens/protective
-
for cleaning services and rearrangement of furniture/equipment Picking up necessary supplies, packing regulated medical waste, responding to floods and other emergencies. Wearing protective clothing, as required
-
Description Start date/duration as soon as possible for 4 years Job profile: Your tasks: Dissertation in the field of flood protection and climate change (in particular technical flood protection, natural
-
PhD candidate (m/f/d) to contribute to the flood-related subproject, which develops hybrid and data-driven approaches with a strong focus on improving the generalization of ML models for flood-related
-
Chapuis (UMR Espace, UCA), and Morgan Abily (Géoazur, UCA). Rivers shape the Earth's surface by transporting sediment, a process that can become hazardous in mountain catchments. In these regions, floods
-
processes for flood risk management in the Anzasca Valley, with particular focus on the territory of the Municipality of Macugnaga. The position is part of the MOHYCAM project (2025–2027), funded by
-
they affect local and regional flood risk. This PhD project will explore how riverbeds in large tropical systems respond to the pressures of sand mining, and whether disturbed beds recover once mining stops
-
is increasingly fragile. The winter of 2024/25 brought high rainfall with good replenishment of rivers, aquifers and reservoir stocks but also causing flooding in some areas. Hydrological projections
-
MANAGEMENT OF URBAN FLOOD RISK -RIVER RISK THROUGH 2D MODELLING, RISK MAPPING AND NATURE-BASED SOLUTIONS. (C-078/25). More information: https://tablon.upct.es/anuncio/ 8 E O04d 8 OW0 Deadline for submission
-
01.10.2025, Wissenschaftliches Personal This PhD position is part of the interdisciplinary TUM GNI project AUROrA – AI-Driven Urban Flood Resilience: Integrating Earth Observation and Architectural