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10 Oct 2025 Job Information Organisation/Company Max Planck Institute of Colloids and Interfaces Department Colloid Chemistry Research Field Chemistry » Other Researcher Profile Recognised
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 21 days ago
group offers a lively collaborative environment where researchers at difference career stages (Postdoc, PhD, Master students) work closely together. Our central interest lies in studying brain processes
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these interventions within each process. Provide statistical expertise and mentorship to PhD candidates within the LEVER project. Support the research activities of the Cultures of Sustainability Unit. Assist in
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. Previous Work https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530091 https://mediatum.ub.tum.de/doc/1687691/ltbbjgwihiht96fqfeblxdyj7.ITSC22_CommonOcean.pdf Job Specifications For PhD applicants
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to participate in the detector and ASIC developments for beyond the HL-LHC upgrade. There will also be opportunities to participate in the ATLAS data analysis and in teaching at the university. A PhD in particle
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» Computer engineering Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Country Germany Application Deadline 30 Sep 2025 - 23:59
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the United Nations, MA Thesis in International Relations, ideally with a focus on international institutions or international law Excellent organisational and time management skills. Excellent computer and internet
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches
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qualifications: A Master`s degree or equivalent and a PhD degree in VLBI, radio astronomy, astrophysics, astrometry, geodesy, or a related field Good understanding of the estimation process and astrophysical
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
, you will develop efficient machine-learning models for fast, automated data processing and decision support, e.g. regarding the identification of adaptation needs. # You are expected to publish in peer