27 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Southern Denmark in Denmark
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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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presentations at international conferences. Expectations of qualifications: PhD in Ecology, Evolutionary Biology, or a related discipline. Demonstrated expertise in ecological fieldwork, particularly in plant or
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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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highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a department, we value having a pleasant and informal working
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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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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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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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August 15th, 2025, or as per negotiation. We particularly seek candidates with strong theoretical research skills within corporate finance or asset pricing. Applicants should have completed their PhD in
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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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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