32 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at University of Lund in Sweden
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to doctoral studies are found in Chapter 6, Section 3, Higher Education Ordinance (1993:100). More information is available on the university's website. Additional information For doctoral students, there is a
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, coherent idea of what you would like to study in our research environment. Computational skills (e.g. data analysis in R and additional experience with a command-line user interface) are also merits
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investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model animal for the investigation of long-distance navigation at night, using
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on, screening and optimization of reaction conditions in chemical- and bio-catalysis, separation and purification of products, analysis of products, data analysis, preparation of samples for evaluation and
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is located in newly renovated premises with comfortable meeting and lounge areas, and staff spaces. More information about LUNARC is available at www.lunarc.lu.se . We offer Lund University is a state
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hyperspectral lidar technology and test multi applications. Within this project we will design a deep ultraviolet and a aquatic hyperspectral lidar. The development is done by raytracing, Computer Aided Design
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Knowledge of radiation protection and handling of open radioactive sources Laboratory experience, preferably beyond academic training Additional Information The position is a special fixed-term employment
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Medicine and is led by Associate Professor Joakim Esbjörnsson. The group uses various bioinformatics and phylogenetics methods to combine genetic, clinical, and epidemiological data to explain how viruses
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often emphasizes the importance of asset diversification, there has recently been growing empirical support in research for the view that temporal information, in combination with diversification, plays a
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. Experience and ability to design and execute experiments to evaluate protein self-assembly. An ability to derive equations and writing code to analyze data on protein self-assembly. Practical experience in