125 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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of sintered structures Structured storage of research data in the electronic laboratory notebook Preparation of publications, participation in conferences Supervision of students Your qualifications
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contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 10.000 employees of KIT cooperate in a broad range of disciplines in research
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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will be preferentially considered when equally qualified. Further information about FAIR and GSI is available at www.gsi.de and www.fair-center.eu. If you find this position interesting and challenging
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as well as in the rapidly growing fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data
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to) For AI in Biomedicine: Representation learning for complex biomedical data Large language models for patient records and multi-omics Generative AI for therapeutic and molecular design Fair, robust and
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candidates. For information on the collection of personal data under Articles 13 and 14 of the General Data Protection Regulation (GDPR), please refer to: www. rwth-aachen.de/gdpr-information.
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Labeling and Imaging“ Dr. Gražvydas Lukinavičius Am Fassberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing of personal data during
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for interviews between the 23rd and 25th of March 2026. Successful candidates start their doctorate between May and November 2026. Check our website for more information Application: Please prepare your CV and
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f