Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Free University of Berlin
- ;
- ; Berlin Institute of Health
- Deutsches Zentrum für Luft - und Raumfahrt (DLR)
- Humboldt-Universität zu Berlin
- Humboldt-Universität zu Berlin •
- Institute of Freshwater Ecology and Inland Fisheries
- Leibniz-Zentrum Allgemeine Sprachwissenschaft
- Scitaris GmbH & Co. KG
-
Field
-
enterprises. The department “Means of Transport” is looking to add at the earliest possible date a researcher with knowledge in statistics and econometrics to their Team “Public transport and intermodality
-
for biological inference and clinical translation Desirable, useful skills and experience: Protein structural modelling, pharmacogenetics, drug target validation, Bayesian statistics, Mendelian randomisation
-
You are currently studying computer science, mathematics, physics, electrical engineering, statistics or a related field of study with good to very good grades Programming skills in Python Good to very
-
will conduct research in the field numerical analysis, applied stochastics, high-dimensional Bayesian statistics, and/or machine learning. The third-party funded research project provides an opportunity
-
of ant trails. Next to statistical physics, high-performance simulations are an important tool for us, for which we have developed "HAL's MD package". This comprehensive software provides large-scale
-
statistical skills including descriptive and inferential statistics (e.g., data analyses using R) Some programming knowledge Ability to work independently as well as in a team Research FieldLanguage sciences
-
electrophysiological (EEG) data very good knowledge of statistics strong interest in the research field experimental neurocognitive psychology, in particular face perception, emotion and meaning processing very good
-
time series data A strong understanding in Statistical Data Analysis and the communication / visualization thereof Practical and theoretical experience with image classification and segmentation In
-
client's capabilities and goals, as well as reviewing scientific and clinical data, experiments, statistical assumptions, and thus power, estimating its probability of success. All this put into context
-
related discipline. Thorough knowledge of social science research and data collection methods (qualitative and quantitative). Strong skills in qualitative interviewing, statistical analysis; and fluency in