Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Linköping University
- SciLifeLab
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Umeå University
- Nature Careers
- KTH
- Mälardalen University
- Blekinge Institute of Technology
- Karlstad University
- Linnaeus University
- Mid Sweden University
- 4 more »
- « less
-
Field
-
macromolecular modeling: Investigate electronic, optical, molecular, and transport properties of soft materials, including conductive and semiconductive polymers, biopolymers, and macromolecules, to optimize
-
part of the MARTINA project and will explore the application of co-design optimized machine learning and neuromorphic solutions for applications that are challenging to address using conventional
-
computational methods for design, dimensioning, sensitivity, robustness, optimization, automation, feedback control, etc. Development of process engineering applications that demonstrate model-based methods but
-
application no later than August 1, 2025. Project description Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized
-
central role in streamlining and standardizing the design flow for quantum device fabrication. This includes implementing and improving design rule checks (DRC), optimizing and debugging code, and
-
research in advanced computing solutions for 6G wireless networks. This includes the development, integration, and optimization of Kubernetes for specialized hardware platforms. You will actively engage in
-
genetic data (e.g. from genotyping). You will implement and evaluate selection methods: Test and optimize new methods for precision breeding in practical or simulated improvement programs. You will work
-
, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
-
that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and
-
on close collaboration between the university and industry and aims to optimize processes, reduce error margins and increase productivity in the industrial companies involved in the project. Virtual models