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excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you
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excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
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application (max. 5 pages) Good interpersonal and communication skills, commitment and ability to work under pressure, ability to grasp things quickly, independence, sense of responsibility, team spirit
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month ago
; Familiarity with fundamental neuroscience concepts is welcome but not essential; General competences - good organization of work, including the ability to work independently as well as working in
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
• ability to work in a team Criteria for the evaluation of candidates Candidate’s scientific and professional experience based on his/her participation in: conferences, workshops, training courses and
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deploying the face de‑identification pipeline on resource‑constrained hardware, optimizing the underlying AI models based on latency, memory, and power constraints, and building demonstrators that showcase
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
for the Research Group Biofluorescence: PhD candidate (f/m/d) This project, funded by the DFG as part of CRC 1752, "DYNAMO: Immediate Tumor Dynamics in Melanoma Therapy“ (https://www.uni-due.de/crc1752/ ) seeks
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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environment, infrastructures. All developed methods will be validated using real-world datasets from the Montpellier metropolitan area, by assessing their ability to enrich existing GIS databases, reduce