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team. You are not only collecting data, you are helping shape the future of care for women with rheumatic diseases.” Where to apply Website https://www.academictransfer.com/en/jobs/362834/phd-candidate
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structure-property relationships to guide purification technology selection · Conduct lab- and pilot-scale testing and optimization of different purification methods Where to apply Website https
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teaching on the postgraduate programme in the field of Paediatric Dentistry and contribute to an established, active teaching programme in Paediatric Dentistry. You will be responsible for: Contribute
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
of publications. Cover letter featuring a short description of research interests, achievements and justification for the intention to commence education at the doctoral school. Certified copy of the diploma
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that transduce environmental and developmental signals; recent relevant papers (2023-2024): https://doi.org/10.1093/plcell/koad288 https://doi.org/10.1371/journal.pbio.3002305 https://doi.org/10.15252/embj
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
parametric studies following a design of experiments and to generate databases of physical fields that can be used to train generic meta-models [McCabe et al., 2025]. Furthermore, since industrial equipment is
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. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research
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industrial, health care and academic environments, you will have the opportunity to develop both your academic as well as your entrepreneurial skills. For more detailed information, see: https://indibrain.eu
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their physical efficiency through training, this project aims to develop software methods that allow deployed neural networks to progressively reduce their resource footprint while maintaining application