653 evolution "https:" "https:" "https:" "CMU Portugal Program FCT" PhD positions in Germany
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billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail lena.richter@helmholtz-berlin.de Website https://recruitingapp-5181.de.umantis.com/Vacancies/2747
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-based) feedstocks including their substitution potential Validation and scaling of the results Sustainability assessment of transformation scenarios and European/global trade potentials Development and
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collaborative scientific community in Dresden and internationally The successful candidate will be embedded in the DFG Research Program RTG3120 on Biomolecular Condensates (https://dresdencondensates.org ). Each
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motivation and CV in a single PDF to: claus.schwechheimer@tum.de The position is available instantly and will remain open until filled. Further information: https://www.mls.ls.tum.de/en/plasysbio/home
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. An annual course programme offers scientific workshops as well as transferable skills (e.g. academic presenting, intercultural communication, project management, career development). A special mentoring
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, Sweden) [IRP18] 5D model-based treatment personalization for right-time adaptive proton therapy (KU Leuven, Department of Oncology, Leuven, Belgium) Where to apply Website https://raptor-consortium.com
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | about 2 months ago
cutting-edge disserta- tion project. The PhD project will be embedded in the institute’s active research program, providing an excellent environment for scientific development and collaboration. PhD Program
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Acute Myeloid Leukemia (AML) (Cerwenka_SFB1709) - Heidelberg University. Details: https://www.lifescience.net/jobs/212535/phd-project-leukemia-cell-plast… Where to apply Website https
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: with relevant credentials, qualifications (incl. your experience with scientific software, programming, and software development), contact information of your Master`s Thesis Advisor Motivation letter
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering