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for automated interpretation of crystallography data for optimal ligand placement. Build and curate training datasets linking electron density maps and structural models. Design and evaluate AI models for 3D
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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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: Communication, teamwork and collaboration, commitment, proactivity, integrity, and critical/analytical thinking. High level of English. Advantageous: Experience in nanomedicine, active matter, biomaterials, or 3D
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, or 3D cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork
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) and statistical genetics (GWAS, PRS, etc.) and related tools (e.g., PLINK). Experience with either 3D image processing (e.g., brain PET and MRI analysis) or statistical genomics (GWAS, PRS calculation
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. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl) at TU Delft | Kavli Institute of Nanoscience. We are a multidisciplinary, international and diverse team of scientists with backgrounds
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sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
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Researcher in Perovskite Solar Cell Research who has: a PhD (or near completion) in physics, chemistry, photovoltaics, materials science or related science or engineering subjects experience with 3D, 2D, lead
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, or related 3D stem cell models Proven skills in advanced imaging and quantitative analysis of dynamic processes Interest in interdisciplinary approaches at the interface of biology and physics Excellent
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aerospace research. 3. Perform complex techniques or procedures including but not limited to: a. Utilizing confocal, fluorescence and live microscopy to image tissue and cells. b. ELISA, mass spectrometry