Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
-
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
-
qualifications Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field, In-depth theoretical knowledge in Machine
-
English. Have a clean driver's license. The successful candidate will be trained by and work closely with the long-term team of local field assistants and PhD students to contribute to the research program
-
tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
-
as a PhD student in TUM’s graduate programme. Key responsibilities: Co-designing research methodology/approaches to study the political economy of climate mitigation policies in low- and middle-income
-
rats. The communication language of the lab is English. The group interacts tightly with the Research Group Cognitive Neurophysiology (PI M. Yoshida; in-vitro/in vivo electrophysiology & computational
-
genomic laboratory and analytical methods Perform species distribution modelling and other relevant non-genetic analyses to study species ranges and boundaries Organise and coordinate sample collection
-
: development and coordination of the wind erosion monitoring program, the development and adaptation of measurement methods and modelling approaches both in the ZALF part of the project and between the involved
-
://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly