35 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " research jobs at UNIVERSITY OF HELSINKI
Sort by
Refine Your Search
-
diets. Part of the PhD study is planned as external stay at Valio (Helsinki, Finland) for one month to learning legume fermentation in an industrial scale, investigate the effect of bioprocessing and gain
-
-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
-
the University of Helsinki and living in Finland, please see https://www.helsinki.fi/en/about-us/careers . A diverse and equitable study and work culture is essential to us. That is why we do our best to promote
-
organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
-
(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
-
of Helsinki, it must be applied for separately (https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes ). The requirements for pursuing a doctoral degree at
-
Environmental Sciences comprises roughly 40 research groups which employ 40 principal investigators and 120 researchers. The research programme is situated in the Viikki science park. https://www.helsinki.fi/en
-
well as to learn a variety of scientific skills and technologies while making connections within and beyond the institute. WHAT WE OFFER Research training in diverse research areas with exceptional potential
-
research in a supportive and stimulating environment Access to state-of-the-art resources and excellent support for further learning and professional development The University of Helsinki offers
-
volumes of audiovisual data is essential. The appointee must have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large