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programs that control stem cell development, and how these processes go awry in cancer progression. Our lab is equipped with cutting-edge metabolomics, genomics, molecular biology, and bioinformatics
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engineering, with a particular focus on AI, data science and decision-making The candidate's research will focus on code quality assurance, code analysis and more generally on the engineering of TrustWorthy
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to your scientific expertise to work within the German Research Foundation (DFG) funded project “Multi-channel transcranial current stimulation (mc-tCS): a novel approach to modulate smooth pursuit eye
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
in Computer Science or related field. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience in applied AI, and in
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writing, scientific communication, and laboratory leadership. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology or proteomics
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excellent skills in modern computer programming languages such as C++, Python, MATLAB or R. We look for candidates who enjoy collaborating in interdisciplinary teams and are good at communicating science in
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discovery, scientific programming and genetic analysis. We encourage applications also from candidates with little background in biology or medicine, and a keen interest to learn. Recent publications: Clarke
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experimentalists and computational groups. You will be expected to present your results at local and international conferences. Your profile Applicants should hold a PhD in data science, computer
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and independently plan scientific research, as well as collaborate with other project members. Excellent proficiency in English, both oral and written. Meriting Qualifications: Experience in
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore