Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
-
histopathological evaluation Statistical programming languages like R or Python Good communication skills in English; proficiency in German desirable but not required Willingness to work independently while
-
, Biomedical Imaging, or a related field A strong interest in molecular imaging (PET) and magnetic resonance imaging Experience with programming (Python, C++, Matlab) A keen interest in experimental work, as the
-
, critically-thinking, self-motivated, flexible, and enjoys working in a team Desirable but not required: Programming experience, preferably in Python or R, and experience in the Linux environment Experience
-
, • in-depth knowledge of machine vision principles and image processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits
-
to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge in the field of Quantum Computing Knowledge of Python Good
-
. In such a case, the panel may set a minimum score for candidates to be placed in the pool. The pool will list candidates in descending order of score. Candidates in the pool may be contacted if a
-
. Programming and Data Analysis: Proficiency in programming tools such as Python, MATLAB, or C++ is highly beneficial for control development, data analysis, and real-time system implementation. Experience with
-
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 24 days ago
, mathematics, electrical engineering etc.). Excellent programming skills (Python, Matlab) are required. The candidate will be embedded in the Neural Computation Group at the Max Planck Institute for Human
-
, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models