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Training Alliance for Computational Systems chemistry

Project description

Computer science and systems chemistry come together to support research and industry

The universe is made up of a finite and relatively small number of chemical elements. However, the possible interactions of these elements in complex chemical reaction systems are often difficult to predict and control. These systems underlie socioeconomically relevant applications in fields like medicine and environmental science. With the support of the Marie Skłodowska-Curie Actions programme, the TACsy project will form a training alliance in computational systems chemistry to support research and industry. It will develop pioneering new computational methods for analysing such networks of chemical reactions, while preparing the next generation of scientists to advance and apply these methods.

Objective

Many important questions and grand challenges in research, industry, and society involve large and complex networks of chemical reactions. Some examples are: studying metabolic networks in humans;
planning and optimizing chemical synthesis in industry and research labs; modeling the fragmentation process in mass spectrometry; developing personalized medicine; probing hypotheses of the origins of life; monitoring environmental pollution in air, water, and soil.
In project TACsy, we will develop ground-breaking new computational methods for analyzing such networks of chemical reactions and we will train a new generation of excellent and innovative early stage researchers (ESRs) capable of evolving and applying these methods in research and industry. Combined, these efforts carry very strong potential for impact on the grand challenges mentioned above, on the EU commission priority on jobs, growth, investment, and competitiveness, and on the well-being of EU citizens.
The research methodology of TACsy arises from the novel application of formalisms, algorithms, and computational methods from computer science to questions in systems chemistry. The first steps demonstrating the strong capabilities of this approach have recently been made. In TACsy, the ESRs will vastly expand these methods and their formal foundations, they will create efficient algorithms and implementations of them, and they will use these implementations for research in complex chemical systems in three flagship application areas.
TACsy is a consortium of world-class, experienced scientists which will ensure excellent research training conditions for the ESRs in this highly interdisciplinary field. Through a carefully designed training programme and secondments at leading industry partners, the ESR will acquire a broad career perspective and a strong set of transferable skills. Their unique blend of competences from computer science and chemistry will further increase their high employment.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-DN-JD - HORIZON TMA MSCA Doctoral Networks - Joint Doctorates

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Call for proposal

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(opens in new window) HORIZON-MSCA-2021-DN-01

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Coordinator

SYDDANSK UNIVERSITET
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 358 046,00
Address
CAMPUSVEJ 55
5230 Odense M
Denmark

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Region
Danmark Syddanmark Fyn
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Participants (5)

Partners (5)

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