Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
-solving skills, and the drive to do independent research Strong programming skills; experience with robotics software frameworks is a plus Excellent written and spoken English Workplace Workplace We
-
programming skills, preferably in Python, and experience with optimisation solvers Familiarity with infrastructure asset management, Bayesian networks, decision analysis, Value of Information analysis, or
-
point cloud processing, as well as in probabilistic modelling and Bayesian inference Very good programming skills, preferably in Python Familiarity with digital twins, building information modelling (BIM
-
, transport planning, or a related field A good grasp of statistical methods and empirical study design, programming skills, and spatial analysis (use of GIS tools) An interest in promoting safe urban
-
record Strong quantitative and analytical skills Experimental laboratory experience (e.g., biomedical engineering, neuroscience, chemistry, optics, electrophysiology, or related fields) Programming
-
quantitative and analytical skills, incl. programming (Python, MATLAB, or similar) Experimental laboratory experience in drug formulation, nanoparticle/microbubble synthesis, colloid chemistry, or related
-
Max Planck Institute of Animal Behavior, Radolfzell / Constance | Constance, Porto | Portugal | 10 days ago
, complex datasets; thus, prior experience with programming (e.g., in R, Python, MATLAB, etc.) and an enthusiasm for tackling challenging computational problems are essential. The student will be
-
nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in the project is not required. The
-
Scientific programming High-performance computing Prior experience with every method used in the project is not required. The successful candidate should, however, have a strong quantitative foundation
-
requirement Knowledge of data analysis and/or programming and a willingness to familiarize yourself further (e.g., R, Pyton, GIS software, Stata, etc.) Enjoyment of scientific work Ability to self