Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
interdisciplinary research and training program. The objective of the open PhD position is to advance current over-the-air-computing (AirComp) approaches for federated and graph-based Embedded AI to account for
-
. Doing so, the project bridges the gap between theories of elite behavior and theories of the political behavior of citizens, which have—relying on insights from psychology—taken an ‘emotional turn
-
integrate these data into the cis-regulatory networks. Following cis-GRN network reconstruction and formal graph analysis, we will identified key regulatory factors governing cell-type specific reponse to CMT
-
, political communication, or democratic theory. It is an advantage if you have knowledge of multilingual NLP approaches. It is an advantage if you have experience in publishing in leading scientific journals
-
pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
-
consortium. CHERMID is a multidisciplinary research centre conducting methodological and applied research on the economics of public health, mainly vaccination and mathematical modelling. VAXINFECTIO
-
applied research on the economics of public health, mainly vaccination and mathematical modelling. VAXINFECTIO, including CHERMID, is involved in several European Commission funded projects and is
-
programmes and language certificates obtained. The courses you will teach will include an English-taught master-level course on “Theory of Fundamental Interactions” (6 ECTS, 60 hours). You will play a role in
-
master’s thesis on literary translation is highly recommended. Familiarity with theories and concepts related to retranslation (retranslation studies, retranslation theory) is recommendable. Familiarity with
-
university research policies . You act with attention to quality, integrity, creativity and cooperation. Desired skills: You understand the theory behind and have hands-on experience with single-cell data