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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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within a Research Infrastructure? No Offer Description We help the world run better Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 4 days ago
is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association. Starting on September 1, 2024 our Department Survey Design & Methodology
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ability to identify and solve problems through a proactive, systematic approach Mechanical design as well as analysis of structural and fluid dynamic engineering problems Ability to work in a team as
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design workflows for training, running, and evaluating a downstream application of HClimRep that will deliver high-quality ecohydrological forecasts for drought, flood, and ecosystem analysis. Specifically
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/software co-design and operating/runtime systems. Typical application domains are e.g., signal-/image processing, machine learning and control algorithms for robotics. Tasks: research and development in
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will benefit of a dense network of contacts with scientists acquired during network-wide training events, to improve their career prospects in the European and worldwide innovation sector, having
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of electricity markets, economic policies and market design for charging markets, and innovation in the automotive industry. The group will be headed by Dr. Marie-Louise Arlt, incoming assistant professor and head
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, software developers and domain scientists on, e.g., Development and adaption of existing data mining and machine learning models Design and implementation of machine learning algorithm for extracting
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candidate will be responsible for conducting research on novel drug delivery methods to target cancer cells. This will involve designing and performing experiments, analyzing data, and presenting findings