34 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" Postdoctoral positions in Finland
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specifically developing and applying new technologies (e.g. mixed reality, movement- and biosensing, remote cognitive testing, mobile EEG) for studying neurodevelopmental disorders (e.g. ADHD, autism, learning
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of value creation, the need for sustainable development and social change. Our five research groups specialise in the following research areas: Project and Service Business Profitability Management
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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