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Qualifications BS in computational biology, computer science, or related field. Additional Qualifications Interested in molecular biology and genetics Proficiency in Python and software development. If visa
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loading, and failure/damage modelling. Familiarity with drone dynamics or aerospace impact studies would be advantageous. Scripting ability (e.g., Python) for simulation automation, post-processing, or
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; proficiency in R, Python, Stata, SQL, or equivalent is preferred. Excellent written and verbal communication skills. Strong organisational skills and attention to detail. Ability to work independently and
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. Basic Qualifications Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline. Programming proficiency in Python, Julia, R, or MATLAB ; background in mechanistic
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foundation models Publication track record is an advantage Proficiency in basics of programming languages such as ROS and Python Excellent communication skills, written and verbal – able to
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with multi-agent systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX ) · Strong analytical, problem
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information theory for AI systems. Proficiency in Python and experience with GPU cluster environments (e.g., SLURM ) are a plus. Special Instructions Please provide a CV, a Research Statement, and two or
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research capabilities and demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or TensorFlow. In addition to
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advantage, depending on the specific thesis topic: Python-based implementations, including data structures, machine learning libraries, mathematics, and statistics Security monitoring technologies
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, ASE) Python programming skills Preferably, experience with machine-learning interatomic potentials (e.g. MACE, NequIP, or similar) Preferably, knowledge of solid oxide cells, oxide materials