Heisenberg-Prof. (DFG)
Interdisciplinary Center for Scientific Computing
Heidelberg University
agamirjalayer.iwr.uni-Heidelberg.de
samirjalayer.de
Feel free to get in touch with us: phdheidelberg@gmail.com
@kit.edu @uniheidelberg.bsky.social
@kit.edu @uniheidelberg.bsky.social
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#3DMM2O #AdditiveManufacturing #3DPrinting @kit.edu @uniheidelberg.bsky.social
Register here 👉 future3dam.org/registration...
#3DMM2O #AdditiveManufacturing #3DPrinting @kit.edu @uniheidelberg.bsky.social
Feel free to get in touch with us: phdheidelberg@gmail.com
Feel free to get in touch with us: phdheidelberg@gmail.com
Feel free to get in touch with us: phdheidelberg@gmail.com
Feel free to get in touch with us: phdheidelberg@gmail.com
Feel free to get in touch with us: phdheidelberg@gmail.com
Feel free to get in touch with us: phdheidelberg@gmail.com
@uniheidelberg.bsky.social
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@uniheidelberg.bsky.social
www.nature.com/articles/s41...
Thanks for the collaboration @cornelluniversity.bsky.social
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Thanks for the collaboration @cornelluniversity.bsky.social
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* Investigation of structural and dynamic properties of molecular switches and machines
* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
* Multiscale simulations of stimuli-responsive functional materials
* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
* Investigation of structural and dynamic properties of molecular switches and machines
* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
* Multiscale simulations of stimuli-responsive functional materials
* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
* Investigation of structural and dynamic properties of molecular switches and machines
* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
* Multiscale simulations of stimuli-responsive functional materials
* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
* Multiscale simulations of stimuli-responsive functional materials
* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
* Investigation of structural and dynamic properties of molecular switches and machines
* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
* Multiscale simulations of stimuli-responsive functional materials
* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
* Investigation of structural and dynamic properties of molecular switches and machines
* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
* Multiscale simulations of stimuli-responsive functional materials
* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
* Investigation of structural and dynamic properties of molecular switches and machines
* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
* Multiscale simulations of stimuli-responsive functional materials
* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
* Multiscale simulations of stimuli-responsive functional materials
* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
Developing and applying computational tools to perform multiscale investigations at the interface of chemistry, physics and material science. To join our team, apply via
PhdHeidelberg@gmail.com
Developing and applying computational tools to perform multiscale investigations at the interface of chemistry, physics and material science. To join our team, apply via
PhdHeidelberg@gmail.com
Developing and applying computational tools to perform multiscale investigations at the interface of chemistry, physics and material science. To join our team, apply via
PhdHeidelberg@gmail.com
Developing and applying computational tools to perform multiscale investigations at the interface of chemistry, physics and material science. To join our team, apply via
PhdHeidelberg@gmail.com