Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
-
development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
-
-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
-
general programming tools (such as Python) is desirable. For further information about the research project, please contact Professor H.C. Kongsted: [email protected] . Information about the department is
-
, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop implementation or comparable tools. Experience with one or more relevant methods
-
environments. Experience with software such as R, Python, SPSS, Stata, Sawtooth, Qualtrics or similar tools will be considered an advantage. The successful candidate should have strong analytical skills, good
-
interventions and commercial marketing measures, consumer-oriented innovations, and social dynamics can be combined to support sustainable change. Please make sure to read more about the project here https
-
in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
-
, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
-
XFEL, ESRF, APS, and LCLS, depending on awarded beamtime. The project is supported by the Independent Research Fund Denmark. More information about the research group is available here: https