19 post-doc-image-engineering-computer-vision Postdoctoral positions at SciLifeLab in Sweden
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(www.scilifelab.se ). NGI is one of the largest academic providers of next-generation sequencing technology (NGS) and SNP genotyping services in Europe, offering world-class technologies and support to researchers
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strong merit. We are seeking a post-doc candidate who is passionate about answering biological questions related to cancer immunology using cutting edge technology in close collaboration with experimental
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environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a post doc position at Uppsala University
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in Computational Biology and Medicine. There are several research projects in our research group at the Department of Medical Biosciences, Umeå University. The research group is connected to SciLifeLab
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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
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, and DNA repair. The research group study the biological functions of quadruplex DNA structures in the genome by using a variety of biochemical, biophysical, imaging, and molecular biology methods, and
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, SciLifeLab is located on Campus Solna, where research groups from Stockholm University, the Royal Institute of Technology, and the Karolinska Institute conduct internationally outstanding research in the life
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Professor Tuuli Lappalainen’s research group is looking for a researcher for
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post-doctoral training and education in one or more relevant research areas which range from the life sciences to mathematics or computer science. In addition, competence and commitment in training young
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome