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must have an educational background that corresponds to the project's topic (for example in one or more of the topics: space physics, plasma physics, astrophysics, engineering physics, computational
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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from staff scientists. The department also hosts the Bachelor’s degree programme in chemistry and three Master’s programmes: analytical chemistry, sustainable chemistry, and organic chemistry. PhD
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substantially equivalent knowledge in some other way. For this position, the applicant must hold a master’s degree in molecular biotechnology, bioinformatics, computer science, or another area that the employer
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Description of the workplace The research group led by Associate Professor Catharina Hagerling conducts translational cancer research, focusing on advanced (metastatic) cancers in children and
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in computer science, engineering, data sciences, applied mathematics, machine learning, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at
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, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b
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. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Project description This PhD student position is in the research team of Associate Professor
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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precision medicine. We are situated at the Science for Life Laboratory (SciLifeLab) and this position is part of the Data Driven Life Science program (DDLS). Assistant professor Avlant Nilsson will be