320 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Nature Careers
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
design and scaling) Qualifications/ About you Qualified individuals should have a PhD in, preferentially anaerobic, microbial sciences, microbial electrochemistry, or related bioengineering disciplines
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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that this will lead to a tenured position. Required Education Level or Diploma PhD, Biology Contract The selected candidate will be hired by INSERM to work at CRCI2NA under the direct supervision of Dr. David
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and clinical translation. Supported by the Carl Zeiss Foundation , an ERC Starting Grant , and the DFG Emmy Noether Program, our lab provides a highly collaborative and interdisciplinary environment
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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at conferences and outreach events. Essential qualifications: A PhD (or equivalent) in a quantitative discipline (physics, mathematics, quantitative biology or similar) completed by November 2025 Proficiency in
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and PhD students working on various aspects of computational biology and hosts a number of collaborations with the Hospital. BiRC hosts the genomeDK supercomputer, which will be available
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Experience and skills Required experience and skills: Extensive