280 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" uni jobs in Denmark
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. Further information Further
-
the relevant union. Further information Further information may be obtained from Professor Hans Nørgaard Hansen, tel.: +45 4525 4816. You can read more about Department of Civil and mechanical Engineering at
-
technologies, software design, hardware development and user interaction, also contributing to and applying new advances within low-power wide area network communication technologies, backend systems and data
-
, iOS/Swift) sensor collection (mobile phone sensing, wearables, activity trackers) web-based development (React / JavaScript) RESTful server infrastructure (Spring Boot, Kotlin, Java, Linux) data
-
-equipped class 100 metal-free clean-laboratory, two ICP-MS, and TCN dating facilities. https://geo.au.dk/en/research/faciliteter/laboratories/facilities . We also have the largest pool of hydrogeophysical
-
, effective use of omics technologies, including sequence- and chemical omics. Translation of basic research into applications of industrial and/or environmental relevance, High throughput screening and data
-
-free clean-laboratory, two ICP-MS, and TCN dating facilities. https://geo.au.dk/en/research/faciliteter/laboratories/facilities . We also have the largest pool of hydrogeophysical electromagnetic
-
and data science techniques are also expected to be part of the position. Additionally, the candidate is expected to: Hold a PhD in Microbiology, Molecular Biology, Bioengineering or a closely related
-
is co-funded by departments of CC and CS. The daily work will happen in the context of CCTD and more specifically, The National Knowledge Center for Digital Technology Comprehension https
-
, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline