131 data-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers
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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
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are required for regular presentations of data and project plans. What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
Network Security by building on the department’s broad expertise in AI, data science, computer science, applied mathematics and robotics. Your colleagues: You will join the Department of Advanced Compiting
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
diagnosis of IEIs and better understand cancer syndromes. These integrative analyses are central to translating genomic data into clinical insights (e.g., Haimel et al., J. Allergy Clin. Immunol. 2021
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. The Postdoctoral researcher will conduct methodologically innovative, data-driven research in field of Migration in Contemporary History of Luxembourg and the Greater Region and actively contribute to historical
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applicants should submit a CV, cover letter, and contact information for three references to Dr. Kian Lim at klim@dom.wustl.edu. Critical Skills and Expertise A strong background in in vivo and in vitro cancer
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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multi-modal models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data. The applicant should be a creative and motivated
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: 11.01.2026 For further information, please contact Prof. Dr. Till Strowig, phone 0531 6181 4700, email: till.strowig@helmholtz-hzi.de . How to apply: When sending us your application documents, please confirm
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a