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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
international research networks time spent abroad working at one or more internationally recognised research institutions. Finally, applicants are asked to provide a proposal for research to be undertaken within
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
and development, and staff networks. We value the enrichment that comes from a diverse community and seek to promote equality, prevent discrimination and protect the human rights of each individual in
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leaders, and academic peers to translate research into actionable insights and impact. Build a robust academic and professional network, preparing for leadership roles in academia, policy, or industry
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participate in studies that: • Investigate the microRNA regulatory network and other transformation-associated pathways. • Determine how tumor-derived extracellular vesicles regulate T-cell function and immune
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: To work within an interdisciplinary environment with leading experts in seismo-acoustics, High-Performance Computing (HPC) simulations, and real data. A net monthly salary (including basic health insurance
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network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr. Lingjia Liu (https://lingjialiu.ece.vt.edu). Successful candidates will
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machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work independently, has a passion for AI
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photonic quantum devices for a heterogeneous quantum network, including but not limited to superconducting qubits, microwave-optical quantum transducers, etc. The postdocs will design the devices, fabricate
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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 10 hours ago
, endocrinology, or related research areas. Experience with one or more relevant approaches, such as transcriptomics, proteomics, metabolomics, single-cell analysis, network biology, comparative genomics, biomarker
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, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical