27 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Southern Denmark
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of POLIMA, which currently consists of two Associate Professors, two Assistant Professors, a Lab Manager, a Center Administrator, and app 10-15 PhD students, postdocs and visiting scientists. Several
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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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(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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. We offer an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological
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and energetic constrains ammonia-oxidizing and methane-oxidizing microbes exhibit under oxygen depletion (and while producing oxygen) including single cell activity assays. Applicants should have a PhD
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above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence
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motivation (max. 1 page) A detailed CV Master and PhD degree certificates (copies) A complete and numbered list of publications Three scientific publications considered to be most important for the advertised
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have obtained a PhD degree in a relevant field and have a PhD-age of max 4 years per October 1st , 2024 (parental leave deducted). The postdoc candidate will be affiliated with the Philosophy Section
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. Candidates will participate in joint weekly meetings, contribute to co-authored publications, and be expected to produce three single- or co-authored articles. Requirements Applicants must hold a PhD in
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will collaborate closely with a PhD student and the broader project team and will contribute to the implementation and follow-up of the randomized controlled trial evaluating internet-based therapy