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master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from
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13 Sep 2025 Job Information Organisation/Company Linnaeus University Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Sweden Application
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of visualization and multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240
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multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240 ECTS credits
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» Biomedical engineering Engineering » Computer engineering Engineering » Biomaterial engineering Engineering » Chemical engineering Engineering » Systems engineering Researcher Profile Recognised Researcher (R2
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of optics, imaging systems, digital holography, speckle metrology, Matlab and simulations, signal processing, the Fourier transform, machine learning, and classifiers such as SVM. Meriting qualifications
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, pharmacology, inflammation, cancer and neurobiology. We also teach students studying at various programs and independent courses in cell biology, physiology, neurobiology, anatomy and histology