24 image-processing-and-machine-learning Postdoctoral positions at University of Southern Denmark
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processing conditions, and minimizing environmental exposure during final application. The assessments are crucial for validating safer alternatives and sustainable process designs. Qualifications
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handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected. Applications will be assessed by
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single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected. The assessment
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development, and guidance within the field tumor-immunology and cell therapy. The position focuses on in vivo reprogramming of immune cells using chimeric antigen receptor (CAR) constructs against glioblastoma
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case you have more than one file per field you need to combine the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files
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contact hcm-support@sdu.dk. Application procedure Applicants are advised to read the SDU information on how to apply . Assessment of the candidates is based on the application material, and an application
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(PV) materials at the nanoscale using electron beam spectroscopy techniques. Our goal is to acquire an in-depth understanding of the nanoscopic electronic structure and the role of defects in advanced
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counts world-leading companies in growing fields such as e-mobility, automation, climate solutions, and energy efficiency. Learn more about our institute at https://www.sdu.dk/en/mmmi and the center
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the possibility of extension for three years. Tiwari lab employs cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In
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operation are pivotal in laboratory environments; thus, guarantees for correct behavior despite uncertainties must be provided. This project will integrate visual sensing and force sensing to obtain effective