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Climate-Sensitive Infectious Diseases lab | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
100 % position available from 01.06.2024, initially limited to 3 years. Tasks: Conduct an AI-driven systematic review to comprehensively analyze the current state of AMR in the environment. Perform a
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06.02.2024, Wissenschaftliches Personal Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and
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of the Built Environment”. For our team, we are looking for a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding of the Built Environment” About us The TUM-Professorship for Data Science
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various data acquisition and analysis techniques (e.g., representational similarity analysis (RSA))-Dynamic, interdisciplinary, and international research environment within the Institute of Systems
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in a dynamic, international, and collaborative research environment. Previous experience in genome-wide data analysis, including RNA-seq, single-cell RNA-seq, or ChIP-seq, as well as basic competence
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» OtherEducation LevelMaster Degree or equivalent Skills/Qualifications The successful applicant must have the following: Fun working in a research environment Some practical experiences in cell culture(!) and
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can locally enrich and protect catalytically active molecules and are open to molecular exchange with the environment. Exchange with the environment could have supplied precursors for compartment
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: An inspiring environment that invites you to conduct high-quality research and successfully implement your own ideas Excellent infrastructure for transferring scientific findings into technical applications
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multidisciplinary environment, the candidate will work on the development of novel methods for analysis of state-of-the-art spatially resolved data. The candidate will explore the landscape of explainable machine
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teaching Working hours: full-time (65 %) Published: 06.06.2024 Limitation:Temporary (3 years) Contract:TV-L Your Tasks In a dynamic and multidisciplinary environment, the candidate will work on the