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Content archived on 2024-05-21

Spin-dependent transport in nanostructures

Objective

The proposed RTN aims to provide training in the field of spin-dependent transport in nanostructures, by exploring phenomena and device applications that will lay the ground for a future spintronics technology. 360 person-months of training will be provided, mainly to young postdoctoral researches, and to a smaller extent to pre-doctoral students. They will receive both local training in specialist skills by working in the groups of established leaders in the field, and training through extended visits to other teams. All will regularly attend international schools, workshops and conferences, and, by presenting their work there, learn to improve their communication skills. A summer school on spintronics will be organized within the first two years of funding, to help new pre- and postdoctoral researchers to enter the field. Pre-doctoral students will also take graduate courses on advanced topics and attend seminars, given by local scientists or visitors.

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

Data not available

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.

NET - Research network contracts

Coordinator

LUDWIG-MAXIMILIANS UNIVERSITY OF MUNICH
EU contribution
No data
Address
Theresienstrasse 37
80333 MUENCHEN
Germany

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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.

No data

Participants (9)

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