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range of research areas and design an individual research portfolio with high impact. As such, successful candidates will be able to align the skills that they learn pursuing a doctorate with their
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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such as cell isolation methods using microfluidics or microwell devices, preparation of sequencing libraries from ultra-low quantities of nucleic acids have enabled the characterisation of DNA, RNA and
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closely align with the profile of the ideal candidate, even if not all criteria are fully met. If you believe your experience and skills broadly match the description, we would be pleased to hear from you
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Ph.D. and why the Experimental Soft Matter Physics group aligns with your career goals. While AI can help with language correction, we discourage using it to write the letter itself, as this may result
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beneficial – but not mandatory – if applicants demonstrate alignment with one of our research centres (described above) or faculty research strengths. We offer A fully funded position with access
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and coordinate with growers, collaborators, and research staff across multiple locations. - Maintain research records and assist with data analysis and reporting. Minimum Qualifications: - Ph.D. in