Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Susquehanna International Group
- UNIVERSITY OF HELSINKI
- Universite de Moncton
- AALTO UNIVERSITY
- Brookhaven Lab
- CNRS
- CSIRO
- DAAD
- Ghent University
- Imperial College London
- Leibniz
- Leibniz Centre for Agricultural Landscape Research (ZALF)
- Nature Careers
- Technical University of Munich
- University of Louisville
- University of Newcastle
- VU Amsterdam
- 8 more »
- « less
-
Field
-
PhD Thesis position in Composite Magnetic Materials and Embedded Magnetic Core power Inductors for Integrated Voltage Regulators in High-Performance ComputingContract: Full Time/Fixed Term for three
-
, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control
-
(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
-
models and generate alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a
-
hydrogen storage tanks. This PhD vacancy is focused on the finite element modelling and design of the pressurized composite tank, in different operational conditions (static burst, fatigue and impact). The
-
Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
-
capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale
-
development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model
-
modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
-
Systems, Energy systems modelling, or a related discipline (upon PhD completion, will transition to Research Associate) In addition for Research Associate PhD awarded in field of Power Systems, Energy