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, but teaching opportunities are available if you are interested, and you will have excellent opportunities to network with leading research labs in Sweden and internationally. You are expected to drive
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new insights into the phenomena observed and enrich the databases required for deep learning methods. The neural networks currently being developed at LISTIC to detect and segment areas of movement in
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forest vegetation dynamics in Québec across these same time scales. The project will rely on a network of regional study sites, including both short cores (ca. 2,000 years) and long cores (ca. 8,000
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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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of the project. The net monthly salary is €2,200 The contract duration is 18 months Where to apply E-mail yassine.haddab@umontpellier.fr Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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from individuals who have or will soon receive a PhD in Economics focusing on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final
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) - Łukasiewicz Research Network - PORT Polish Center for Technology Development, Co-Financed by the Polish Science Fund, project no. WIB-4/2024-O04, entitled “Personalized antibody–drug conjugates activated by
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 22 minutes ago
present your findings at internal meetings and international conferences, contribute to publications, and support a positive and collegial team culture. Essential qualifications Doctoral degree (PhD) in
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Postdoc (f/m/x) Position in Byzantine Studies at the Institute for Medieval Research - IMAFO056PD226
organizational activities of the Institute of Medieval Studies of the Austrian Academy of Sciences Your Profile Doctorate/PhD in Byzantine studies or a related discipline Very good knowledge of medieval Greek and
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. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health