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application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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and outside of WiTECH ranging from CMOS over BiCMOS to GaAs and GaN. The research is hosted at Chalmers but will be conducted in close contact to multiple industry experts in communications, sensing
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monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D
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knowledge or experience working with biological sequencing data is beneficial but not necessary. Feel free to email me if you have any question when preparing your application. About the DDLS PhD student
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application! More information Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and
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education in theory and practice of generative modeling, have research experience or education in life science data and have prior experience with remote GPU and HPC services. After the qualification
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reconstitution to study the replication of positive-sense RNA viruses. This is a vast group of viruses responsible for serious diseases such as Dengue, Chikungunya, TBE and viral myocarditis. To copy their genomes
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-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats
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The PhD student will use state-of the-art methods such as cryo-electron tomography of cells/tissues and biochemical reconstitution to study the replication of positive-sense RNA viruses. This is a vast