68 results found

[Thesis]

Towards bio-inspired electronics: Investigation of electronic and transport properties of amyloïd fibers

Offer N°: SL-DRT-16-0422

Start date: 1 Oct 2016

One of the major challenges the industry of the future has to face, relies on the consideration of environmental issues (resources access, energy and waste management, etc…), while striving for cutting edge innovation. For the microelectronic industry, which aims at pushing the technology limits, particularly in terms of component and connection sizes, these new challenges are also new opportunities, as for co-integration between silicon components and biological objects.



[Thesis]

Angle sensitive pixel for CMOS image sensor

Offer N°: SL-DRT-16-0559

Start date: 1 Oct 2016

CEA/LETI is a leading institute of technological research in France, transferring fundamental research to industry. As a part of the optics and photonics LETI's department (DOPT), visible image sensor lab (LIV) is focused on innovative solutions for CMOS image sensor. Inside this scope, we want to develop new kind of pixels called “angle sensitive pixel”. Such pixels make possible extra-thin sensor as they don't require objective lens to be place in front of the array.



[Thesis]

Advances magnetic memory modeling and circuits conception for instant-on zero-leakage electronics

Offer N°: SL-DRT-16-0446

Start date: 1 Sep 2016

To overcome the limitations in terms of current consumption and miniaturization of logic circuits, the semiconductor industry incorporates more components of non-volatile memories within those chips. Among them, the STT-MRAM magnetic memories are the most promising. The attractiveness of this innovative technology comes with its very high programming speed (GHz) and its infinite endurance.



[Thesis]

Proposal of a UNUM arithmetic calculation unit and its application to scientific computing

Offer N°: SL-DRT-16-0568

Start date: 1 Oct 2016

UNUM is a very recent representation (2010) for floating point numbers, which outperforms the classical IEEE 754 representation for accuracy, and accelerates convergence for iterative calculations.



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