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24 Feb 2026 Job Information Organisation/Company UNIVERSIDADE DE ÉVORA Department MED Research Field Agricultural sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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://chiralnanomat.eu/ we offer two PhD positions: DC9 - Bio-Functionalized Chiral Nanocluster Modelling via Machine-Learning Methods DC10 - Predictive Modelling and Rational Design of Asymmetric Catalysis by Chiral
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We are seeking a PhD candidate to join our team in the development of next-generation bioelectronic platforms to study implant interfaces and modulation of the brain tissue microenvironment
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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unreliable non-verbal cues. This project will investigate and formalize this tacit skill in the context of global supply chains where buyers are critically dependent on the knowledge and skills their suppliers
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of medical free text using advanced AI methods” (working group of Prof. Christof von Kalle) The duration of a position in the BIH PhD Program is three years with a possible extension of up to one year
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to translate this microfluidic method into antifouling coatings capable of tunable and passive delamination. Join a team of junior researchers (PhD candidates and postdoctoral researchers), and shape a rapidly
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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 1 month ago
-Zasady_rekrutacji_SD_INTiBS_PAN_en.pdf Candidates' applications for admission to the School must be submitted by 23.03.2026 a) by email to the address phd@intibs.pl (preferred method of application); however, the original documents