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Deep Learning–Based Tissue Analysis May Benefit Colorectal Cancer Patients

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Deep learning techniques may pave the way for a more accurate outcome prediction in colorectal cancer patients as compared to evaluations currently performed by an experienced human observer. Researchers at the University of Helsinki are reporting in Scientific Reports that they have created a deep learning algorithm that appears to help clinicians better predict patient outcomes based on colorectal cancer tissue samples. "In our study we hypothesized whether a deep learning–based algorithm can be trained to extract prognostic features from cancer tissue images without any expert-defined supervision. It appeared exciting that almost no domain expertise is needed to build accurate classifiers," said study investigator Johan Lundin, MD, PhD, who is the Research Director of FIMM-Institute for Molecular Medicine Finland, at the University of Helsinki. The researchers combined convolutional and recurrent architectures to train a deep network to predict colorectal cancer outcome based simply on images of tumor tissue samples.


Professor or Associate/Assistant Professor in Artificial and Human Intelligence University of Helsinki

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The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits. As a part of the Faculty of Science, the Department of Computer Science (https://www.helsinki.fi/en/computer-science) is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The number of professors at the Department has grown in recent years and there are now 29 professorships.


Risk assessment of cardiovascular diseases for all citizens - ELIXIR Finland

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Cardiovascular diseases are the most common cause of death in the world. More than a third of deaths in Finland are caused by cardiovascular diseases. The current objective is to create an assessment, based on health data, of each person's risk of illness before they consult a doctor. Andrea Ganna, Group Leader from Institute for Molecular Medicine Finland FIMM at the University of Helsinki and instructor from Harvard Medical School, wants to establish a nationwide, personalised risk assessment as foundation for planning public health interventions. The assessment is based on the health, demographic and genetic information of the citizens.


Positions for Exceptional Doctoral Students (deadline January 31, 2019)

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The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a joint initiative by Aalto University and the University of Helsinki, the two leading universities within this area in Finland. The network involves at present over 60 professors and over 200 doctoral students, and the participating units graduate altogether more than 40 new doctors each year. The quality of research and education in both HICT universities is world-class, and the education is practically free as there are no tuition fees for doctoral students in the Finnish university system. In terms of the living environment, Helsinki has been ranked as one of the world's top-10 most livable cities (Economist, 2017), and Finland is among the best countries in the world with respect to many quality of life indicators, including being the overall #1 country in human wellbeing. Helsinki is in the second place in the world's startup city comparison (Valuer, 2018) and is also the Mobile Data Capital of the World (IEEE Spectrum, 2018). The participating units of HICT have currently funding available for exceptionally qualified doctoral students. We offer the possibility to join world-class research groups, with multiple interesting research projects to choose from. If you wish to be considered as a potential new doctoral student in HICT you can apply to one or a number of doctoral student positions (listed below).


Postdoctoral Researcher in Statistics and Machine Learning University of Helsinki

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The University of Helsinki (https://www.helsinki.fi/en) is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world. It offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The Department of Mathematics and Statistics is the largest university department for mathematical sciences in Finland. The multifaceted research carried out at the Department of Mathematics and Statistics has received the highest points in several evaluations.