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Germany (https://ngs-kn.de ). Its primary technological focus is on implementing innovative methods for single-cell and spatial sequencing, as well as bulk short and long-read sequencing applications. With
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of all nationalities. How to Apply — Find further information about the IMPRS, our research, and our online application procedure on our website: https://www.mpimp-golm.mpg.de/IMPRS-PhD Please note that we
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of innovative products. We develop new machines and machining strategies on behalf of our customers, optimize existing production facilities, and implement future-oriented tool concepts. Our core competencies
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the Collaborative Studentship application form available online here: https://forms.office.com/e/HPK05i0fJ0 . Applicants will be required to upload an anonymised CV, anonymised cover letter, and transcripts as part
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and machine learning tools
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to receiving your application with the usual documents (cover letter, curriculum vitae, certificates) by 18.01.2026, preferably via our online application portal. https://www.museumfuernaturkunde.berlin/en/jobs
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Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: office.cm@mgt.tum.de More Information https://www.fa.mgt.tum.de
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Helmholtz Centre for Environmental Research - UFZ • | Leipzig, Sachsen | Germany | about 11 hours ago
for learning German are provided. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions
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08.09.2021, Academic staff The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%, 3
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, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning