Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Umeå University
- Karolinska Institutet (KI)
- Lunds universitet
- Linköping University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- Institutionen för biologi och miljövetenskap
- KTH Royal Institute of Technology
- Lulea University of Technology
- Luleå University of Technology
- The Swedish University of Agricultural Sciences
- Uppsala universitet
- universitypositions
- 5 more »
- « less
-
Field
-
of Business, Economics and Statistics here: www.umu.se/en/usbe/ We look forward to receiving your application! Where to apply Website https://umustipendie.varbi.com/en/what:job/jobID:967504/type:job/where:39
-
/discrete-mathematics/ More information about the department: https://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/ We look forward to receiving your application. Where to apply Website
-
strong scientific background with relevant expertise in cell and/or molecular biology. Interest in programming, computational biology and statistic towards high-throughput data analysis is considered a
-
school, and taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a
-
appropriate statistical methods, contribute to scientific publications, project reports, presentations and other communication of research results, participate in project meetings and collaborate with academic
-
or scale-up of algal cultures; biomass harvesting and characterization; trace-element analysis; geochemical or mineralogical methods; and statistical analysis of multivariate experimental data. Personal
-
, or a closely related quantitative field, together with strong programming skills, for example in Python or R. You are welcome to apply should you have a degree in applied parts of statistics
-
, scientific computing, mathematics, statistics or a related field, or a foreign degree equivalent to a PhD degree in machine learning, computer science, scientific computing, mathematics, statistics or a
-
. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience of AI- or statistics-supported analysis
-
, heart failure, long-term conditions, self-care or person-centred care. Survey data, registry or usage data, and statistical analysis. Multicentre research or collaboration with regions, clinical services