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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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pursues equality for all groups of people. We promote the professional development of women at the institute and strongly encourage them to apply. You can find information on our representative body
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development efforts for ERGOM. The primary objective of this position is to generate high-resolution seagrass distribution maps for the Baltic Sea, achieving a spatial resolution of approximately 1 nautical
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, contact recruiting(at)diw.de . You can find more information about DIW Berlin on our website, www.diw.de . Please contact Karsten Neuhoff (kneuhoff(at)diw.de ) for more information on the specific tasks and
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for floral traits Discover, isolate and functionally characterize genes/alleles of direct or indirect traits related to grain number in wheat or barley Use field/greenhouse experiments and macros-/microscopic
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relation to the use of syntactic structures in coordination with various bodily resources, such as gaze, facial expression, object use, movement in space, etc. Your tasks will involve collecting and
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to equal opportunities in employment. We observe guidelines regarding laws and regulations governing part-time employment. Among equally qualified applicants, disabled candidates will be given preference
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for the reward funds. Note that candidates are in no way expected to read this background material for the application. We provide the link here so that potential applicants can better assess whether they find