Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- SciLifeLab
- Karolinska Institutet, doctoral positions
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Lunds universitet
- The Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå University
- University of Lund
- Uppsala universitet
- 2 more »
- « less
-
Field
-
mass-transfer properties influence adsorption performance, pressure drop, thermal management, and cyclic stability under humid process conditions. The project will further involve scale-up, process
-
Performing fish stock assessment Participating to national and international expert groups Contributing to scientific advice for fisheries management Contributing to scientific publications as well as national
-
performance in laboratory column experiments and pilot-scale lysimeter systems using real PFAS-contaminated soil and groundwater. Requirements To meet the entry requirements for doctoral studies, you must hold
-
PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
engineering program and the AMASE master's program. Within these educations, many students perform project work and degree projects in projects related to our research. The research subject of Engineering
-
understanding of these mechanisms has the potential to improve our understanding of disease progression while enabling more personalized management. The PhD project aims to advance our understanding
-
of syngas biomethanation with conventional anaerobic digestion entails several advantages e.g. increased gas flow for more cost-efficient liquefaction of biomethane, and heat management. Moreover, supply
-
virus production. Duties include planning and performing laboratory work, contributing to optimization of sequencing protocols, developing and applying bioinformatics pipelines for long-read sequencing
-
, proteomics, long-read sequencing). Familiarity with machine learning approaches, particularly artificial neural networks, and their application to biological data. Experience with workflow management systems
-
-scale datasets generated in the Piazza laboratory, public structural proteomics datasets, state-of-the-art mass spectrometry infrastructure at SciLifeLab, and high-performance computing resources