Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- University of Lund
- KTH Royal Institute of Technology
- Linköping University
- Lunds universitet
- Lulea University of Technology
- Blekinge Institute of Technology
- Luleå University of Technology
- Mälardalen University
- Stockholm University
- University of Skövde
- Uppsala universitet
- Göteborgs universitet
- KTH
- Luleå tekniska universitet
- Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet stipendiemodul
- 10 more »
- « less
-
Field
-
doctoral student, your primary responsibility will be to pursue third-cycle education through research projects aimed at developing and optimizing radionuclide therapy for prostate cancer and other
-
signal, and network-wide optimization of transmission and sensing parameters, as well as resource assignment, lie at the core of this project. Who we are looking for The following requirements
-
of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
-
mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
-
-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
-
, processing and interpretation. Developing, implementing and optimizing workflows for cryo-ET sample preparation, data acquisition and data processing. Supporting and training users in cryo-ET methods and
-
. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures. Conduct research in related areas of battery
-
sought-after partner in both academic and public-sector collaboration. The research focus includes energy system optimization models, sustainable energy and climate transition, scenario analysis, and
-
systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
-
conducted in collaboration with BioMS and experts in proteomics and peptidomics at Lund University. The duties include: Planning and conducting experiments. Developing and optimizing methods for sample