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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 8 hours ago
dark matter candidates Develop predictions for multi-wavelength observations Scientific interpretation of results and preparation of scientific publications Requirements PhD in astrophysics / particle
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21 Sep 2026 Job Information Organisation/Company Institut d'Investigació Biomèdica Sant Pau Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 3 days ago
collection Presenting and publishing ESS-relevant research in scientific conferences and journals Your profile: Above-average completed PhD (as well as a Master) in the Social Sciences (for example Sociology
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still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7, spine point
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Research FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements Hold a PhD in Biomedical Sciences or a related discipline. Proven research experience in genetic engineering, molecular
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Website https://seuelectronica.urv.cat/treballar-a-la-urv/pi26032english.htm Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in Chemistry, Photochemistry
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-2024 (cu.edu) Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Post-Doc: A doctoral level degree (PhD, MD, MD/PhD) in immunology, stem cell biology
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knowledge exchange activities with public authorities and industry stakeholders. Contributing to teaching and supervision of students at the bachelor's, master's, and PhD levels. Qualifications We are seeking
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at least one of the following: a PhD degree related to circular design innovation in the circular economy, preferably in the area of apparel/textiles; or equivalent experience in a different sector; or a
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep