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. The mechanisms governing the growth of Sn on InAs and other III-V semiconductors remain poorly understood. Imaging Sn/InAs interfaces at atomic resolution using a transmission electron microscope (TEM) gives
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developments and quantitative image analysis, with the support of C. Lagadec (CANTHER) in cancer biology. Experimental work will be carried out at PhLAM, while the theoretical developments will be conducted
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11th October 2026 Languages English English English The Department of Circulation and Medical Imaging has a vacancy for a PhD Candidate in Exercise and Brain Health – The MolEx Studies PhD Candidate
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. Biological sciences faculty maintain strong collaborative and programmatic ties with several other departments, including Psychology, Pharmacy, Physics (including imaging faculty), Chemistry, and Computer
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 7 days ago
particularly relevant, although it is not mandatory. Experience with experimental animal models, molecular and cellular biology techniques, stereotaxic procedures, metabolic phenotyping, imaging, transcriptomics
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on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
-omics technologies, advanced imaging, data science, and artificial intelligence, the CRC aims to uncover the mechanisms underlying cardiometabolic diseases and develop new precision-medicine approaches
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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faculty and other researchers in a professional manner. Desired Qualifications Prior experience in practical mass spectrometry and/or mass spectrometry imaging or data analysis. Experience with tissue
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in