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coherent and incoherent seed sources Implement intelligent control over spectral and temporal shapes of broadband nanosecond laser pulses Broadband UV-generation position Implement nonlinear multi-pass cells
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Imaging of mouse bone marrow Analyses of clinical data and correlation with wet lab findings Your profile Master degree (or similar) in molecular biology, biomedicine, biotechnology, bioinformatics or a
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the synchrotron-based imaging technique Dark-Field X-ray Microscopy and together we utilize it to visualize the evolution of internal structures in metals during plastic deformation, i.e. changes in shape due
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, in coherence with international agreements on climate change. The project may be linked up with the research center TRANSPLAN where the Institute of Transport Economics, Molde University College, NMBU
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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resonance energy transfer, siRNA mediated gene knock out, cellular imaging, qPCR, etc.) to elucidate unknown interactions between GPCRs and receptor tyrosine kinases at the cellular level. Analyses will focus
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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awareness capabilities. The PhD will involve both simulation and experimental work. This includes designing and testing optical instrumentation and conducting observation campaigns to image and track