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Field
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selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Personal
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Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection
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data processing, single-cell data processing, and Matlab, R, or Python, and scientific illustrations will be an advantage. Finally, the ideal applicant also has high proficiency in spoken and written
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coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
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) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C
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optimization and MPC Strong programming skills (Python, C) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently, but seeking feedback and
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strong research interest in statistical genomics, computational biology, computational genomics, or animal genomics Experience with a programming language (e.g., python, R) and basic working knowledge with
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– Knowledge and experience in the application of Ion Beam Analysis techniques; – Knowledge about material analysis; – Experience in programming (i.e. Python, MATLAB, etc.). The following competencies
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
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, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in presentations and in writing Self-motivated and well