Projects
Institute of Computational Life Sciences
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3D chemistry - platform and app for classroom use and teaching - digitalization
Three-dimensional imagination is highly relevant for understanding the fundamentals of chemistry at university level. Especially when drawing molecular structures, it is important that students are able to imagine molecules/salts with the right geometry, so that the correct functioning in ...
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Platform Health
Researchers from the School of Life Sciences and Facility Management (LSFM) initiated a platform to promote interdisciplinary research in the field of health. The School of LSFM supports this initiative to increase visibility of all health-research related activities in teaching, R&D, continued education, and ...
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Facility Management compensation and industry study 2019
Longitudinal study on the compensation of specialists and executives in the Facility Management market in Switzerland, as well as their influencing factors on behalf of the industry association fmpro. It is designed as a quantitatively online survey for the targeted 1,000 participants in the form of a multi-factor ...
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Neuronal Growth Modelling (BioDynaMo Initial Project)
The aim of the project is to create a simulation module in the BioDynaMo framework for three-dimensional modeling of the structural development of a part of the human cortex. The implementation is based on an existing model. This project serves an initial contribution to the BioDynaMo consortium. ...
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Swiss UAS-Compensation Study 2019
Longitudinal study in all three national languages on the wages of university graduates in Switzerland, primarily the graduates form the Universities of Applied Sciences. It is based on a quantitatively online survey with about 10,000 participants, designed as a a multi-factor analysis, which is based on a survey ...
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Eco Missions
Escape Rooms and Outdoor Missions are booming: Electronic scavenger hunts, foxtrails, geocaching, or mobile phone trails are a popular leisure activity among young families or young people. Our new "Eco Missions" offer is designed to do justice to these new leisure activities. In an eco mission, the various aspects ...
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The Coffee Blockchain – From Field to Cup
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Frequentist estimation of the evolutionary history of sequences with substitutions and indels
High throughput sequencing technologies have permitted a wide range of scientists to observe an astonishing molecular diversity across all domains of life. Since all observed molecular sequences area result of a long evolutionary history, most informative inferences can be made only when analysing genomic sequences ...
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BISTOM - Bayesian Inference with Stochastic Models
In essentially all applied sciences, data-driven modeling heavily relies on a sound calibration of model parameters to measured data for making probabilistic predictions. Bayesian statistics is a consistent framework for parameter inference where knowledge about model parameters is expressed through probability ...
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simCAT – a mobile aid to recombinant enzyme production and whole-cell biocatalysis using microorganisms
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Simulation & Optimization needs HPC
The simulation and optimization is predestined for high performance computing (HPC). Many computing operations are necessary and huge amounts of data are being generated. The requirements have also increased in recent years as the models become more complex. In addition, simulation-based optimization needs a large ...
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A cloud-based IoT approach for food safety and quality prediction
Safety and quality prediction are topical issues in food industry. We are developing a novel IoT approach in the framework of a collaboration with Genossenschaft Migros Zürich (GMZ), ZHAW (represented by the institutes IAS and ILGI) and Axino Solutions AG. The main goal of the project is to provide a robust, ...
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Mobile tool for the evaluation of forest edges - Digital Transformation
The tried and tested forest edge key (Krüsi et al. 2017) is suitable for recording the initial condition and later monitoring the success of forest edge enhancements, as it provides reproducible results and is easy to use (Fuhrer et al. submitted). For this reason, this forest edge key is to be further developed ...
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PhD Network in Data Science
Swissuniversities project to promote PhD programs at ZHAW in the field of Data Science.
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Positive selection detection of genome from Ralstonia bacterium
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What does the Swiss population eat?
MenuCH data will be analysed in order to assess cultural differences between language regions of Switzerland with respect to consumption, dietary patterns, and associated lifestyle factors. Differences in consumption of meat and meat products; milk and dairy; and beverages, will be compared to nutritional ...
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Longitudinal progression of White Matter Hyperintensities (WMH)
According to the latest figures from Alzheimer Switzerland, there are currently 48,242 women and 15,711 men aged 85 years and older living with dementia in Switzerland. So-called White Matter Hyperintensities (WMH), which can be measured in MRI images of the brains white matter, are distinct biomarkers of dementia ...
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Advanced Bayesian inference with stochastic hydrological models
With advanced numerical techniques, including Approximate Bayesian Computation (ABC), Hamiltonian Monte Carlo (HMC) and Machine Learning (ML), we want to push the limits of Bayesian inference with stochastic models. The focus of the application will be on the hydrological sciences.
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Bio-SODA – Enabling Complex, Semantic Queries to Bioinformatics Databases through Intuitive Searching over Data (SNSF NRP 75 "Big Data")
One of the major promises of Big Data lies in the simultaneous mining of multiple sources of data. This is particularly important in life sciences, where different and complementary data are scattered across multiple resources. To overcome this issue, the use of RDF/semantic web technology is emerging, but querying ...
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Infectiology++ - Germ Tracking
In this project, we develop a system for the detection and analysis of germ transmission chains in the University Hospital Zurich. The system is based on an expert system solution in combination with machine learning (reinforcement learning).