Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- CNRS
- Swedish University of Agricultural Sciences
- Wageningen University & Research
- George Mason University
- Harvard University
- IIASA
- Leiden University
- Lunds universitet
- National University of Singapore
- Norwegian Institute of Bioeconomy Research
- Queensland University of Technology
- Sveriges lantbruksuniversitet
- The University of Chicago
- The University of Iowa
- The University of Manchester
- University of Delaware
- University of Göttingen •
- University of Lund
- University of Sheffield
- University of Utah
- Vrije Universiteit Brussel
- 11 more »
- « less
-
Field
-
on facility location, storage, processing capacity, procurement, and inventory management. The project combines: stochastic and robust optimization, uncertainty modelling, large-scale supply chain design, and
-
four-generation family trees with financial information derived from probate inventories. The main phase of data collection has now been completed, and the project is entering a stage of data processing
-
under the international and national climate frameworks. What will you do? National GHG inventory and projections: You will help preparing the national greenhouse gas inventory for the LULUCF sector in
-
, and inventory. Train and supervise junior staff, students, and/or technicians as needed. Other duties and responsibilities as assigned. Education Requirement: Master's or Ph.D. in Cell Biology
-
duties and responsibilities The RA is expected to: 1. Manage laboratory operation and management in relation to creation, review and revision of risk assessment and SOPs, materials’ inventory
-
has profoundly transformed inventory methods over the past decade. Non-invasive, it complements traditional methods (such as kick-sampling for macroinvertebrates) by detecting rare or cryptic taxa
-
reconstructed their economic trajectories by combining four-generation family trees with financial information derived from probate inventories. The main phase of data collection has now been completed, and the
-
, focusing on conventional-style figurative representations. This corpus, based on updated inventories, will include approximately 200 “macrocephalic” horse engravings on cervid antler, about 140 cut-out
-
(LCA). Analysis will be situated within the UK context, engaging with future energy scenarios and NDA waste inventory projections. Outputs will include optimisation frameworks linking TES specification
-
, policy documents, cartographic material, material inventories, interviews, technical building documentation, or other relevant datasets. You do not need to be familiar with all these source types