105 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions in Finland
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opportunity to develop your professional skills in a versatile operating environment. You get a professional and inspiring team to support your work. We take care of your well-being at work and the
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. Benefits We offer you responsible and interesting tasks and the opportunity to develop your professional skills in a versatile operating environment. You get a professional and inspiring team to support your
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at the Faculty of Medicine or at the Faculty of Science or at the Faculty of Technology. The application period is from 29 August to 12 September 2025. DRD trains professionals for drug development and research
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spectroscopy with a novel, rapid chemical separation technique, Gas Ion Distillation (GID, see https://www.helsinki.fi/en/projects/gidprovis for details). The Doctoral researcher will develop a mid-IR laser
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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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. Reusify Project The position is connected to Reusify research project which aims to accelerate the uptake of reusable packaging systems by providing tools and resources for developing highly scalable, safe
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. The position is filled with a 6 month probationary period. This appointment is part of a project funded by the Alfred Kordelin Foundation's Major Cultural Project Grant, focusing on the development of novel deep
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-motivated doctoral researcher to join our interdisciplinary team. Project overview We develop and apply advanced machine models to analyze health data from national databases in Europe. Utilizing
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) , University of Helsinki, is currently seeking a highly-motivated doctoral researcher to join our interdisciplinary team. Project overview We develop and apply advanced machine models to analyze health data from
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experimentation to develop integrative metamodeling approaches, qualitative systems analysis methods and causal graph-based solutions for machine learning. The team aims to advance innovative and robust solutions