Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
-nucleic acid interactions (the candidate with prior experience in structure biology and protein expression and modification is preferred. Experience in programming is a plus. Your qualification It is
-
in vivo experiments to assess phage-based therapies against clinically relevant bacterial pathogens Investigate host–phage and microbiome–phage interactions using transcriptomics, microscopy, and
-
100% contract. A dynamic, interdisciplinary, and international research environment with excellent, state-of-the-art infrastructure. A cooperative, friendly and supportive environment, with plenty
-
recover from disruptions, as well as the risk of cascading interactions between them. Key responsibilities: analysis of the planetary-scale resilience and stability of the Earth system (its capacity
-
! Publications Social Media Videos Podcasts Online press review Media Personalia Events Life on Campus Back Events Culture, the arts and leisure time Merchandising Wellbeing Public Engagement Back Studium Generale
-
polycephalum arises from the interactions of cell nuclei within the gigantic cell. We are looking for a Post-doc (m/f/d) to start at the TUM this summer or fall. Your Task Physarum polycephalum is renowned
-
PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of psychology (in human-robot interaction) and communications (in networked control systems). Many of the developed methods are experimentally validated in our multi-robot lab. Your qualifications: We
-
Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
-
Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
-
interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D