-
networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
-
at least one of the areas of data privacy, machine learning is required. A successful candidate is expected to have a scientific and result-oriented approach to your work. A very good command of
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
of the project The laboratory is mainly interested in RNA-biology and particularly to understand how regulatory RNAs function and control microbial virulence. In this project, we aim to identify small molecules
-
must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
-
for the position will be important factors in the selection process. Additional useful qualifications Since appointment as a postdoctoral researcher is a career-development position for junior researchers, we
-
areas such as energy technology, laser spectroscopy, medical technology, and electronics and systems engineering. The Department is now seeking a postdoctoral researcher to develop fabrication process for
-
therapeutic strategies that efficiently target currently hard-to-treat ovarian carcinomas. Work responsibilities The successful applicant will independently perform animal experiments with human ovarian
-
to be revalued. The project studies the processes through which value transformations of bio-waste are made. Examples of wastes that might be of interest are wastewater, stormwater or forest waste. The
-
climate interactions. Lake physical dynamics is crucial for ecosystem dynamics, as it governs key processes like energy balance, turbulence, and thermal structure, directly influencing ecological and