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Field
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(or near completion) in computer science, machine learning, statistics/biostatistics, computational biology, data science, physics, or a related field. Experience with modern deep learningframeworks (e.g
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, chemicals and various lab materials. Qualifications Required Qualifications Doctoral degree in biology or related field with training on basic cell biology, molecular biology and organic chemistry. Preferred
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supportive and collaborative environment, with multiple opportunities for personal growth (training, participation in international congresses, etc.). Furthermore, a postdoc exchange program is planned between
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 17 hours ago
to advance multiscale biological discovery using interdisciplinary approaches including innovative, cutting-edge mathematics, physics, and computation. Currently about 500 employees from over 50
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context. The successful applicant will have the opportunity to develop an autonomous line of research related to the interests of the lab in evolutionary genomics. Motivated applicants with a strong
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relatives, supporting and extending current research lines of the Institute of Computational Biology Preparation of scientific publications, presentations at conferences and seminars Participation in grant
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language classes, professional trainings and mentoring programme Concessionary services at the contractual operator and bank Campus-based daycare for employees' children from the age of 1 year Welcome
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25 Sep 2025 Job Information Organisation/Company CNRS Department Institut de biologie de l'Ecole Normale Supérieure Research Field Biological sciences » Biology Researcher Profile Recognised
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computational biology and bioinformatics, with experience in: Applying deep-learning or AI-based methods for image denoising. analysis of whole-genome sequencing (WGS) or other large-scale sequencing data
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 7 days ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational