80 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" PhD positions at Nature Careers
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. Modeling Atomic Processes on Nanoparticles Develop atomistic models and machine-learning
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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, Italy, SSM is a prestigious institution of higher learning and research with a deeply rooted interdisciplinary approach and a global perspective. Renowned for its rigorous selection process, SSM admits
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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methods are a plus High degree of motivation, willingness to learn and team spirit Strong sense of responsibility, organisational skills, high reliability and flexibility Good written and oral
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Scientific Group Leader (f/m/d) 2D-Materials - tenure track / Completed university studies (PhD) ...
Helmholtz Investigator Group , for example. As an Investigator Group leader, junior scientists can independently set up their own group to conduct research in their specialist field and acquire management
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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VwGr. B1 Grundstufe (praedoc) Reference no.: 5249 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better