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molecular docking, molecular dynamics and free-energy methods (MD/FEP), machine learning for molecular design, and protein–ligand modelling. Experience bridging computational and experimental groups, and the
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of Statistics and Operations Research( https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting at the earliest possible
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research in calcium imaging, neural and behavioral dynamics, and chromatin dynamics. Job Responsibilities: Develop statistical, time-series, and machine learning techniques to extract meaningful insights
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research in calcium imaging, neural and behavioral dynamics, and chromatin dynamics. Job Responsibilities: Develop statistical, time-series, and machine learning techniques to extract meaningful insights
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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
enable advanced analytics across disciplines. Experience in developing and deploying machine learning solutions is considered an advantage. Experience applying such solutions within digital humanities
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Science, Machine Learning, Computational Linguistics or a related field, if applicable with PhD previous experience in Natural Language Processing, knowledge Graphs, Machine Learning or Recommender Systems
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We seek a Ph.D., M.D./Ph.D., or M.D. scientist with deep expertise in data science, advanced machine learning/AI, or bioinformatics methods and applications in multi-omics and multimodal data (eg
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. Demonstrated scientific expertise in immunogenomics, antigen discovery, and machine learning/AI applications in biomedical research. Strong proficiency in the analysis of next-generation sequencing (NGS) data
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on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum
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, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and