Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. For a project within the working group Data-based analysis of climate decisions PIK is offering a student assistant position (m/f/d) in mathematics, statistics, economics, physics or related fields
-
expertise in experimental pragmatics or psycholinguistics Solid knowledge of Gricean pragmatics (implicatures) Expertise in statistical evaluation and computational modelling Background in formal pragmatics
-
economics, public finance and economic policy, statistics and econometrics, or a related field well advanced or completed doctoral degree in one of the above or a related field demonstrated knowledge and
-
independently if you have knowledge of basic statistical methods. Knowledge in quantitative genetic analysis of mapping populations and in programming with R Statistics are of particular advantage We offer you
-
experience) in mathematics or a closely related field is expected. Experience in the areas of large deviations; statistical physics and phase transitions; Markov jump processes will strengthen your application
-
Master’s degree or equivalent in economics or a closely related field (e.g., quantitative social sciences, econometrics). They should have excellent knowledge of statistics, econometrics, experience in
-
researcher(s) in their research projects including data collection, data management, and statistical analyses of cross-national or panel surveys and other kinds of data formats, such as field experimental data
-
series econometrics experience with statistical software programs (such as Matlab). excellent language and formulation skills in English Our offer comprehensive further academic qualification at one
-
data. Your skills: working/communicating in an interdisciplinary team coding skills: R, Python or Matlab experience with Version Control broad knowledge of statistics and data science methods basic
-
, extension and maintenance of existing workflow / data workflows Your profile: Master or PhD in Bioinformatics, statistics or similar Strong background and interest in the field of computer science