2 Firmen mit Ergebnissen für "compensating"

Pure Water AG

https://www.southpole.com/  

8005 Zürich, Technoparkstrasse 1 / Newton 4001 (c/o South Pole Carbon Asset Management AG)

 +41 43 501 35 50
 info@southpolecarbon.com

Pure Water AG

Technoparkstrasse 1

8005 Zürich

4 Ergebnisse für "compensating" unter Pure Water AG

Frequently Asked Questions - How should the private sector step up ...

... supply chains, as well as compensating for all remaining emissions on their way to net zero. Companies ... operations and value chains, and compensating for their residual emissions through buying carbon credits ... compensating for all remaining emissions on their way to net zero. Companies therefore need to take an ... , and compensating for their residual emissions through buying carbon credits. Companies that set a ...

Adyen launches Planet, enabling climate action at checkout

... projects grounded by robust methodologies and South Pole's depth of expertise, while compensating for their ... expertise, while compensating for their footprint is as easy as a single click. About Adyen Adyen (AMS ...

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ANSYS Switzerland GmbH

http://www.ansys.com  

8005 Zürich, Technoparkstrasse 1 / Zeppelin 3003

 +41 44 500 93 60

ANSYS ist der weltweit führende Anbieter von technischen Simulationslösungen und entwickelt, vertreibt und unterstützt Software für Engineering Simulation. Was ANSYS auszeichnet und von anderen professionellen Berechnungsprogrammen abhebt, ist unter anderem seine Multiphysikfähigkeit. Es kann neben Mechanik und Heattransfer ebenso Fluidynamik, Akustik und Elektromagnetik berechnet werden. Auch die gleichzeitige gekoppelte Behandlung dieser physikalischen Aspekte in einer Simulation ist abgedeckt.

ANSYS Switzerland GmbH

Technoparkstrasse 1

8005 Zürich

1 Ergebnisse für "compensating" unter ANSYS Switzerland GmbH

How to Choose the Right Sensors for Autonomous Vehicles

... strengths while compensating for others' weaknesses. For example, lidar alone provides poor results for lane ... ultrasound will maximize each sensor type's strengths while compensating for others' weaknesses. For example ...

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