246 data-"https:"-"https:"-"https:"-"https:"-"https:"-"IRIBHM-ULB" positions in Switzerland
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systems. The wide range of experiments conducted in the BedrettoLab relies on numerous sensors and data acquisition systems that monitor processes both in the tunnel and within the surrounding rock mass
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Chief Physician with professorial rank within the Internal Medicine Service - Department of Medicine
programs funded by competitively awarded grants. Good knowledge of French (native speaker or C1 level preferred) or ability to acquire it quickly. Further information may be obtained from Prof. Peter
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camera systems and give introductions to their use. In addition, they are expected to collaborate closely with the group members in project design, data collection and analysis, and finally be part of
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to magnitude -5 at meter-scale distances. All data is acquired and processed through SeisComP. The BedrettoLab team comprises about 30 scientists from diverse disciplines and collaborates with research
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letters. Further information about the Department of Architecture can be found on our website . Questions regarding the position should be directed to Ms. Kindler-Gordon, kindler@arch.ethz.ch
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BSc and MSc transcripts A motivation letter including a list of 3 references willing to provide a recommendation letter Further information about the Computational Cancer Genomics Group can be found
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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, interest and motivation CV Certificates (transcripts for Master degree) Two reference letters Further information about BPL and D-BSSE can be found on our website . Questions regarding the position should be
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(LLE), and diffusion coefficients—key data for designing and optimizing chemical processes. Because conventional experiments are often time- and resource-intensive, particularly for multicomponent
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, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling