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techniques. Experience with quantitative microscopy, including protein labeling techniques. Willingness to work with animals on part-time basis. Excellent communication, writing, and teamwork skills. Preferred
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technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation
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the University of Turku the right to use the HR Excellence in Research quality label . The label is a token of the University's commitment to continuous development of the position and working conditions of
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. You may upload these documents to the application under CV/Resume. Required Education and Experience Appropriate PhD in related field Preferred Qualifications Experience labeling proteins with
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boost growth and innovation in the food and beverage manufacturing sector. Part of the Federal Government’s Trailblazer Program, FaBA leverages $50m of government investment with more than $110m from
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(the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop
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transition functions in society. The programme currently includes senior researchers, doctoral students, and postdoctoral researchers. As a postdoctoral researcher, you will be part of the interdisciplinary
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transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components for longitudinal risk trajectories. Build robust
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supramolecular structure. High-resolution electron microscopy (TEM, STEM, cryoEM, cryo-FIB-SEM) FDAA labeling Immunolocalisation of proteins Superresolution microscopy (e.g. STED, MINFLUX) [2] Postdoctoral fellow
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to independently design experiments to deliver a series of sophisticated 3D volume of HCR-labelled shark, chick and mouse brains and analyse these to provide a detailed and robust measurement of expression domains