Tag Archives: postdoc

Post-doc position on grey-box machine learning (closed)

The Data Mining and Machine Learning group (http://dmml.ch/) at the University of Applied Sciences in Geneva has an opening for a full-time post-doc position. The research target is to develop grey-box (hybrid) machine learning methods that combine data-driven models such … Continue reading

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Dmml is growing by the addition of three new team members

We are delighted to announce that our team has grown, as three new members have joined us within the last months. Dr. Nils Schaetti has joined our team this Fall. Nils holds a PhD from the University of Neuchâtel and … Continue reading

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LiBertaS: New research project funded by the Halser Foundation

We are very pleased to announce that the Hasler Foundation has approved the project proposal of Dr. Grigorios Anagnostopoulos, and will fund the project "LiBertaS". LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate … Continue reading

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LiBertaS: Enhancing Location Based Services by tackling the market barrier of costly data collection requirements of fingerprinting positioning systems

LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate fingerprinting methods in business practice, by greatly downscaling the data volume needed for their operation. Location Based Services (LBS) have recently undergone a tremendous increase … Continue reading

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Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods

Eratosthenes is a research project funded under the Spark funding scheme of the Swiss National Science Foundation (SNSF). The aim of the Spark is to fund postdoctoral researchers to implement "projects that show unconventional thinking and introduce a unique approach". The relevant criteria for the award … Continue reading

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Welcome to Naoya

We have the pleasure to welcome Naoya Takeishi as a new postdoc into our team. His expertise and experience with integrating the theoretical understanding of physical systems into machine learning as well as with data-driven analysis of nonlinear dynamical systems is a strong contribution to our research portfolio and we are looking forward to inspiring and enriching discussions and collaborations. Naoya will also reinforce our team in the industrial project IAI: Industrial Artificial Intelligence for intelligent machines and manufacturing digitalization. In addition to all the science he is about to immerse to, we wish he enjoys his stay with us and in Geneva, Switzerland and we hope to learn from him a little more about Japan and its culture. ようこそ!

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