Sort by
Refine Your Search
-
, or mathematically founded data science as well as excellent oral and written English language skills. Experience with spatial statistics is an advantage. The applicant must hold an MSc degree in mathematical
-
documented strong qualifications in mathematics, statistics, or mathematically founded data science, as well as excellent oral and written English language skills. Experience with spatial statistics is an
-
Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
-
or Computer Science; Human-computer Interaction, Spatial Cognition or related areas; Engineering, Applied Mathematics, Statistics or another Quantitatively Oriented Discipline. Application procedure Your complete
-
. Strong methodological expertise in epidemiology and statistical analysis, with experience relevant to survival, multilevel or longitudinal analyses. Experience working with health, socioeconomic, genetic
-
large spatial and temporal scales. Experience in the conceptualisation and development of new methodological approaches for analysing and modelling species range dynamics, functional trait variation
-
spatial analysis. You will design and implement large-scale surveys, manage data collection and cleaning, and carry out rigorous statistical analysis of survey data. You will apply and further develop
-
analyze temporal dynamics using time series methods and statistical techniques, and you will explore spatial variability using suitable modelling and data analysis approaches. A central task will be
-
infrared spectroscopy, simultaneous Raman spectroscopy, and co-located fluorescence imaging. This combination enables label-free chemical identification and high-resolution spatial mapping of plastics and
-
, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty. A particular focus will be placed on learning and decision-making