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datasets and demonstrate familiarity with statistics software packages, such as Stata and Python. Knowledge about computer text analysis is also desirable. Excellent written communication skills are required
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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EEGLAB or similar). Programming or data analysis skills in MATLAB, Python, or R. Experience conducting gait or balance experiments using forceplates or motion analysis tools. A developing publication
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Boltzmann method (LBM), discrete Boltzmann method (DBM), and other kinetic models. Solid knowledge of fluid dynamics and heat transfer. Proficiency in programming languages such as C/C++, Fortran, Python
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variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
Work experience with IT programming or scientific programming and with Unix operating systems Advanced knowledge of Matlab and/or Python or IDL Basic knowledge of Fortran and C++ Experience in analysing
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natural sciences Experience with scientific programming and Unix operating systems Experience with various programming languages, including C++, Python and Matlab Ability to work with large datasets
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets
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, bioinformatics, molecular biology, toxicology, pharmacology). 2. Proficiency in bioinformatics, programming, and tools for the analysis of large genomic datasets and single-cell dataset, including R, linux, python
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred