32 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" Postdoctoral positions in Finland
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open environmental datasets linked to address information and geocodes of places of residence, and willingness to further develop research methods relevant to the field. Experience in epidemiological
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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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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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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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inclusivity. We encourage all qualified applicants with different backgrounds to apply for our open positions. Benefits We offer you responsible and interesting tasks and the opportunity to develop your
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, single cell multi-omics methods and in vivo imaging. As a Postdoctoral Researcher, you will play a crucial role in discovering the signals and mechanisms that orchestrate cell plasticity and develop next
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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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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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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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. 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