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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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(posted 2025/10/15) Position Description: Apply Position Description The School of Interactive Computing (https://ic.gatech.edu/ ) at the Georgia Institute of Technology invites applications for a tenure
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/msca-do… Requirements Research FieldComputer scienceYears of Research Experience1 - 4
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President for Strategic Partnerships US-NY-New York Job ID: 2025-15179 Type: Office of the Executive Vice President for Global Science and Technology (WS3488) # of Openings: 1 Category: Business/Professional
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, instructional technology, computer labs, or testing/proctoring services. · Experience with a Learning Management System (Blackboard) and Workday. · Working knowledge of instructional technologies, computer
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such as VASP, Quantum ESPRESSO, LAMMPS, GROMACS. • Machine-learned interatomic potentials. • Structure-property prediction using GNNs. • LLM fine-tuning and prompt engineering (e.g., HuggingFace, OpenAI
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of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Data Science and Machine Learning
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an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology Machine Learning, AI Safety, AI Alignment, Eval of LLMs, Multi-agent Safety
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 14 days ago
creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation