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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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Bioinformatics and Data Science to advance infection biology research Department of Plant Physiology Closing date: 2025-08-31 As a national hub for molecular biosciences in Sweden, SciLifeLab develops and
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. The project explores the role of tumor-promoting inflammation in cancer progression through bioinformatics-driven, machine-learning and multi-omics analyses integrated with experimental data. Ideal candidates
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aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
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The Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden (NBIS) is a large national infrastructure in rapid development providing support, tools and training
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We are one of Sweden’s most distinctly profiled institutes of technology, with a focus on IT and innovation for a sustainable future. A key word at Blekinge Institute of Technology (BTH) is closeness – close cooperation with industry and society, and closeness to our students and to our...
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The Department of Process and Life Science Engineering (PLE) covers a wide range of industrially relevant research, including e.g. plant-based meat analogues, carbon capture and formulation and
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is an
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, protocol selection and bioinformatics analysis, we hope to enable world-leading research. You can find more information at ngisweden.scilifelab.se . The employment will be placed at the Department
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of electrochemical reaction kinetics. The position is intended to run in parallel with master level studies at a Swedish higher education institutions and is part of the Chalmers Nano Area of Advances , including