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strategies to improve long-term brain health. This work will run in parallel to ongoing human studies in the Maternal and Fetal Health Research Centre and contribute to our goal of improving women’s health
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, high-throughput screening and cell-based screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable but not required. • Ability to interpret and
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scientific excellence in the areas of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate
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Python programming skills to implement and prototype research ideas. • A solid mathematical foundation to support the design and analysis of algorithms and systems. • Curiosity, motivation, and the
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parallel. Active participation in other ongoing projects in the lab and clear communication of research findings to both specialized and general audiences are expected. Additional responsibilities include
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filtering, and refinement, and work closely with experimental collaborators to translate designs into functional ligands through synthesis, pharmacology, and in vivo validation. In parallel, you will extend
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engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated
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is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and
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approaches to study RNA turnover or with massively parallel reporter assays (MPRAs) will be beneficial. Must Have Bioinformatics experience in the analysis of (RNA) sequencing data Experience with common lab
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) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques Job