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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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strong background in animal science, veterinary science, or biology. The overall aim of the research is to evaluate feedstuffs and develop nutritional strategies and climate mitigation tools aimed
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of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With this position, we seek to strengthen
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connected to our activities within PEM water electrolysis and membranes for water purification and your work will contribute to the development of new knowledge within this field. Your work tasks In
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and methodological analysis of how landscape change influenced the historical development of environmental anthropology in the Kalahari and should be prepared to work in a collaborative research team
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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expertise in regulatory proteomics, ADP-ribosylation biology, and mass spectrometry-based technology development. Postdoctoral position #1 is funded through a recently awarded grant from the Danish Cancer
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. The position is a two-year role and funded by a DFF research project (‘Safeguarding Users’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in
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and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
We are looking for a postdoctoral researcher to join the ABLE project (Ability-Based Tailoring of Interactive Devices), an AUFF-funded research project developing a platform that enables users