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Field
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projects at the NGI Center. Job Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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/deep learning algorithms. Knowledge of systems biology approaches (e.g. genome-scale metabolic modeling. Proficient with R, Python or MATLAB. Desired Qualifications* Experience with machine learning
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About the Opportunity Job Summary Individuals are sought to teach graduate courses in science and technology relevant to the bioinformatics field. Courses include primarily biological science
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 1 day ago
development of computational methods and software. The research fields range from molecular biology to astrophysics. Your research agenda should overlap with one or more research areas at HITS: Complex
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group and combine the experience in cell therapy, transplantation, stem cell differentiation, retinal development, retinal cell biology, retinal electrophysiology, and small and large animal models
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and accelerate breakthroughs in medicine, biology, and environmental health. Our interdisciplinary team of scientists and engineers from more than 25 countries develops technologies that bridge
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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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programming, microfluidics, and engineering to design sophisticated algorithms for exploring and manipulating information encoded in DNA-based graphs. The position is fully funded by a prestigious CNRS
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, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change
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-guided design-build-test-learn workflows, and open algorithms, benchmarks and reproducible research. This is an exciting opportunity to help shape a frontier AI for Biology programme, publish high-impact