79 genetic-algorithm-computer-"Prof" positions at University of Groningen in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Science, Economics, Mathematics, or a closely related discipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track record with publications in relevant
-
. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
-
across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
-
across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
-
Dutch and English. Affinity or experience with innovation projects involving partners from practice. Willingness or experience in programming heuristics and algorithms. Motivation to produce academically
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
-
embedded in the research programme of FEB’s Research Institute. The project will be supervised by Prof. Robert Lensink (Faculty of Economics and Business), email: b.w.lensink@rug.nl , Prof. Han Olff (Faculty
-
. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
-
working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also