225 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions in Sweden
Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Employer- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- University of Lund
- Chalmers tekniska högskola
- Nature Careers
- Linköping University
- Umeå universitet stipendiemodul
- Umeå University
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- SciLifeLab
- Jönköping University
- Luleå University of Technology
- Lund University
- Sveriges Lantbruksuniversitet
- University of Gothenburg
- Högskolan Väst
- Linköpings universitet
- Linnaeus University
- Lulea University of Technology
- Mälardalen University
- Umeå universitet
- Uppsala universitet
- Blekinge Institute of Technology
- Chalmers
- Chalmers Tekniska Högskola
- Chalmers te
- Göteborgs universitet
- Karlstad University
- Linköpings University
- Linneuniversitetet
- Lund university
- Mälardalens universitet
- Stockholm University
- Sveriges Lantrbruksuniversitet
- The Royal Institute of Technology (KTH)
- University of Borås
- chalmers tekniska högskola
- 30 more »
- « less
 
- 
                Field
- 
                
                
                (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines 
- 
                
                
                relevant to the subject area. A doctoral degree in molecular biology or genetics is required. For the employment you must also have extensive laboratory experience in biochemical methods and molecular 
- 
                
                
                , the Knowledge Foundation (KK-stiftelsen) and industry partners have decided to support Mission 0 House with an additional program, with a budget of nearly 100 million SEK over a five-year period, starting in Q1 
- 
                
                
                , the postdoc will contribute to several ongoing projects, gaining experience and knowledge in the product quality, HPLC methods and protein functional properties analysis. Over time, the post-doc is expected 
- 
                
                
                be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping 
- 
                
                
                and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s 
- 
                
                
                methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely 
- 
                
                
                , vortex matter, matter at ultra-high pressure, diagrammatic Monte-Carlo. We are interested in analytical and numerical approaches to fermionic and bosonic states. Examples of one of the directions in our 
- 
                
                
                , e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python 
- 
                
                
                interesting magnetic and electronic ground states. Here, a special focus lies on crystal growth through chemical transport reactions and flux methods as well as X-ray diffraction, magnetometry and electron