25 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at UNIVERSITY OF HELSINKI
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written English We provide Opportunities for personal development in an enthusiastic, supportive and international team that has strong track record in nutritional physiology Possibility to produce high
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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inspiring, creative teamwork in a modern, research-oriented institution in the heart of Helsinki. The researcher will develop their expertise in the field of textual studies of the Hebrew Bible / Old
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of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work provides the possibility to develop skills in
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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occupational healthcare and opportunities for professional development. Further information can be obtained online . The employment contract will be subject to a probationary period of six months. HOW TO APPLY
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, the University of Helsinki’s comprehensive employee services include occupational healthcare and opportunities for professional development. Further information can be obtained online . The employment contract
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manipulation of developing mouse organs. The project will focus on how signaling pathways operate at the intersection of growth control and branching morphogenesis in the developing mammary gland and will use
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resistance and microbiomes, statistical analysis of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze