102 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at Nature Careers in Germany
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holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms (AI) to analyze large imaging and molecular
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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-throughput data from patient cohorts and work on the development of improved NGS data analysis algorithms and design novel applications e.g. for the integration of different data types. Your Profile
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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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the professorship include the training of students and doctoral candidates in the field of translational paediatric cardiology. YOUR PROFILE We are seeking an outstanding academic in the field of development
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of employment is governed by § 2 (2) Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). Tasks: Cancer development leads to major changes in the genome as well as in
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-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The junior research group (Epi-)Genetic Regulation of Fungal Virulence (https://www.leibniz-hki.de/en/epi
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, materials, and chemistry and process engineering. We are looking for talented people to join us. Your responsibilities include: Further development of laser ablation inductively coupled plasma mass
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“Research for a life without cancer” is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
obtained and to solve complex macromolecular structures, the development and use of artificial intelligence and machine learning will increasingly be required. FAU and HZB are jointly appointing a