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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication-efficient and
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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Python is required. Programming in C or C++ is a plus. Background in statistical genomics, longitudinal modeling, non-parametric statistics, machine learning and deep learning are preferred and encouraged
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Technical skills (e.g., Python, NLP toolkits) are a plus but not required if the candidate brings qualitative or conceptual expertise A combination of education and meaningful experience from which comparable
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. No experience required. Preferred Qualifications Proficiency in AI modeling techniques and tools, with a demonstrated track record in real-world applications. Strong coding skills, preferably in Python
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 18 days ago
or engineering Advanced knowledge/skills in programming and code development, in particular Python, C++ Experience in working with complex code frameworks Knowledge and experience in
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Knowledge, Skills, and Abilities The applicant must have strong programming skills in Python, and experience in at least one of the following areas: virtual reality development, machine learning, analyzing
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication