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of Nanoelectronics a full-time position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting as soon as possible
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development for scalable
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? Are you our future colleague? Apply now! EU or NATO citizenship Education PhD in Materials Science, Physics, Chemistry, Surface Engineering, Nanotechnology, or a closely related field Experience and skills
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PhD projects and employed at one of the host institutions. Each position includes international mobility, secondments, and a tailored training and career development programme. Apply at the RAMP-UP
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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(spoken and written) We offer A clear research topic as well as multifold training and support for PhD students in framework of ISAS and the Leibniz association Training and scientific development
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publication-based PhD qualification, including: - Review of previous literature and the relevant theoretical background - Analysis of existing/secondary survey dataset(s) - Development of new survey and
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Dortmund, we invite applications for the Research Group Proteomics: PhD Candidate (m/f/d) You will be responsible for: Planning and performing proteome and phosphoproteome analyses as part of the DFG funded
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as a key target for future therapeutic and preventative measures. MICRO-PATH is a competitive, interdisciplinary PhD programme supported by the PRIDE scheme of the Luxembourg National Research Fund