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Applicants should possess: • A PhD (completed or close to completion) in Communication, Public Health, Information Systems, or a closely related discipline. • Strong quantitative research
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, and hypothesis generation. Integrate transcriptomic, epigenomic, spatial transcriptomic, and other multi-omics datasets. Perform gene regulatory network, transcription factor, pathway, and cell-state
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work and placements. Collaboration & Networking (10%): Build and maintain collaborative relationships with internal and external partners, build research networks, and coordinate shared projects
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
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engage as part of a network of learning and action that spans organizations, disciplines, and communities-a growing effort to catalyze civic science culture change. Fellows may co-design projects
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Conduct research in adversarial machine learning, AI security and the robustness of deep
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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The Helsinki Institute for Information Technology (HIIT) is seeking Postdoctoral Fellows to join the Helsinki region information technology research community. The position is intended support early