Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Linköping University
- SciLifeLab
- Umeå University
- University of Lund
- Lunds universitet
- Linköpings universitet
- Lulea University of Technology
- Blekinge Institute of Technology
- IFM/Linköping University
- Karlstad University
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Umea University
- Umeå universitet stipendiemodul
- Uppsala universitet
- 7 more »
- « less
-
Field
-
explainable AI for large-scale and complex datasets by developing algorithms, pipelines, and tools suitable for critical decision-making contexts. The doctoral student will be based at the Health Technology
-
of algorithms, data structures, high-performance computing, machine learning and microbiology. The position at the Department of Molecular Biology at Umeå University is temporary for four years to start
-
and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers
-
bioinformatic activities, focused on developing and applying Multi-Objective Optimization (MOO) algorithms and Pareto-front thinking to understand how different individuals/lineages come to possess different
-
data and IT infrastructure. Combination of different algorithms to test multimodal predictive modelling. Compilation and presentation of data orally at seminars and conferences, as well as independent
-
healthcare, in most cases, there is only access to information at the patient level, about the patient’s health status and disease development. In this project, we will develop theory, algorithms and methods
-
microscopy on magnetic materials and/or the use and development of coherent x-ray microscopy techniques, to join the SoftiMAX team. As part of the team, you will ensure optimal operation of the beamline plus
-
, you will be trained to think critically and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the
-
(Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class switching and somatic hypermutation, and identify putative candidate tumor-regulatory
-
, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly