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, in accordance with the provisions of articles 123 and 124 of Law 39/2015, of 1 October, on the Common Administrative Procedure of Public Administrations. Website for additional job details https
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processing, molecular biology, or low-input sample preparation. Small animal procedures, vascular biology, or neuroinflammation. Histology, immunofluorescence, microscopy, or quantitative image analysis
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. For further information, please contact Dr. Salah Ghamizi: Your profile Master in Computer Science. Major in machine learning or computer vision is an asset Strong programming skills Strong analytical skills
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laboratories offer state-of-the-art facilities and a very productive and exciting research environment. Minimum of Bachelors in Biochemistry, Neuroscience, Molecular Biology, Bioinformatics, or Computational
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structured data processing and an opening toward applications in software engineering. Research program The project will investigate how to generate and execute specialized LLM-based workflows from high-level
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clinic forms, handouts, and patient education materials. *Utilize computer, printer, copying, autoclaves, ultrasonic units, operatory suction equipment, infection control materials, dental X-ray equipment
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projects and heritage collections generate enormous quantities of complex data, including field records and photographs, scientific analytical outputs, 3D models, and computational imaging datasets. Working
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research | Karlsruhe, Baden W rttemberg | Germany | 3 months ago
27 Jun 2026 Job Information Organisation/Company Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research Research Field Technology Computer science
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data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with