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to the development of a sustainable society. We are Sweden's largest mathematical department, with around 200 dedicated staff, including 65 PhD students . We are a joint department between Chalmers University
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
Conjugates for Targeted Chemotherapy and Radiotherapy Duration: 12 months Maximum Duration Including Renewals: 24 months Objectives Design and synthesize optimized FAP binding proteins possessing varying
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communications; iv) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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-Doctoral Research Fellowships to hold a PhD degree obtained in the 3 years previously to the submission of the fellowship application; to have carried out the research work that led to the PhD degree in a
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Area, and coordinated by Professor Alfeu Joãozinho Sguarezi Filho. The research is part of an international research network and involves geospatial analysis, optimization and modeling, as
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foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation
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Conference in the metroplex. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience A PhD in engineering with an emphasis in real-time optimization (e.g., extremum seeking
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 2 hours ago
/classic/en/offres/2026-09790 Requirements Skills/Qualifications The applicant should hold a PhD degree in computer science, physics, mathematics, or a related field and have an excellent track record
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developing and optimizing models to predict disease progression and create realistic patient profiles. Building and optimizing pipelines for pre-processing and integrating biological data sources (clinical