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, or related fields Strong interest in AI for scientific imaging, self-supervised learning, and image restoration Experience in deep learning (CNNs, transformers, or INRs) and scientific programming Good
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Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives access to advanced infrastructure for experimental and theoretical studies
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Experience in structural and quantitative proteomics Prior experience in analyzing proteomics data and knowledge in bioinformatics Background in immunology and protein biochemistry For personal traits, we
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at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good verbal and written communication skills
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methods, familiarity with social science scholarship, and experience with interdisciplinary research are valued. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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enhance antigen receptor diversity, contributing to a deeper understanding of the human immune system. The experimental work will involve a variety of advanced techniques, including CRISPR/Cas9-based
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
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equivalent in Microbiology, Biotechnology, clinical sciences or similar providing access to PhD programs and should have experience with experimental research. Documented knowledge in one or more of the
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access to PhD programs and should have experience with experimental research. Applicants must have excellent proficiency in written and spoken English. Strong motivation and ability to collaborate in