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the Danish and German school systems. The application deadline is May 15, 2025, at 11.59 PM / 23.59 (CET/CEST The PhD project is part of a 3-year research project, STEPS (STEM-perspectives on primary and
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probabilistic machine learning project with applications in bioscience. As part of the project, you will be involved in Conducting original research in probabilistic machine learning, within the topics mentioned
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for valorizing aquatic biomass in integrated value chains, from primary production to processing into innovative products and services. The main challenge in this assessment is answering prospective questions
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According to the mobility requirements of the MSCA guidelines candidates must not have resided or carried out their main activity (work, studies, etc.) in the country of the host organization (i.e. Denmark in
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analyses Demonstrated research background, inclusive of master thesis or articles published on pertinent subjects (e.g., time series analyses, ocean sensors, acoustic and optical data processing, automation
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thermochemical TES. Your main supervisor will be Prof Adriano Sciacovelli and you will join the Thermal Energy Section at DTU Construct. Your work will contribute to a paradigm shift in how complex TES systems
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basic education at master's level (corresponding to the 3 + 2 Bologna process) • have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale
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and Perception lab, the PhD student will be part of the Pioneer Center for AI (https://www.aicentre.dk/ ) – a large national center for AI research. Your competencies Master's degree in one
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cultivation, particularly with uni- or multicellular fungi, ideally in lab-scale bioreactors in fed-batch and continuous mode, analysis of main carbon metabolites and purification of intracellularly
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are part of DOTC’s aspiration to be a key player in the energy transition, and we are looking for ambitious colleagues who share this vision. The main possible areas of research include experimental and