31 computational-"https:"-"https:"-"https:"-"https:"-"https:"-"TU-Darmstadt" PhD positions in Netherlands
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 2 months ago
high demand. You will be supervised by Dr Gabriele Liga ( https://www.tue.nl/en/research/researchers/gabriele-liga ) and Dr Yunus Can Gültekin at TU/e. You will carry out two research secondments: one
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Apply now Are you passionate about affective neuroscience computational modelling and transcranial ultrasound stimulation? Come and join our PhD project on approach-avoidance decisions under threat
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PhD Computational Semantic Representations: a Multilingual Language-Change Study Faculty: Faculty of Social and Behavioural Sciences Department: Social Sciences Hours per week: 36 to 40
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-end bonus, both calculated based on your annual gross base salary. As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
ultrafast beam steering, temporal focusing, and self-torque generation through harmonic beating. Fabricate the designed nanophotonic structures using TU/e cleanroom facilities. Build femtosecond optical
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research groups involved in the ML-GUIDE project and focus your efforts on guiding engineering efforts for one particular biomolecule and its associated function. (1) Dr. Robert Pollice ( https
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Your function Every EU competition agency, and most agencies worldwide, now relies on AI and other computational tools to enforce competition law. The legal framework has not kept pace. ATLANTIS , a
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:59 CET/CEST Publication Method: External Only Type of Appointment ( learn more) : National Graduate Trainee Directorate: Operations Workplace: Darmstadt, DE Grade Band ( learn more ): F1 - F1
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systems, Computational Fluid Dynamics (CFD) will be used. Initially, numerical analyses will focus on a previously used experimental setup operated at DLR. As a first step, non-reacting-flow modelling
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, flow matching, neural ODEs as well as graph neural networks. Looking forward, the aim is to develop new mathematical and computational paradigms that can deepen our scientific understanding of deep