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Field
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data analysis (genomic and transcriptomic) (UNIX, LINUX, R, Python or similar). Experience with microscopy and/or histological techniques is an advantage. Excellent English skills (written and spoken
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R and/or Python, with experience in data integration and statistical analysis. Exposure to RNA therapeutics or functional genomics approaches is an advantage. Strong interest in interdisciplinary
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strong background in machine learning and/or computer vision is required, along with solid programming skills in Python and experience with deep learning frameworks (e.g. PyTorch). Prior research
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; Mechatronics; Agricultural Engineering; Mechanical Engineering; Electrical/Electronic Engineering; Computer Science; Control Engineering, or a related discipline Desirable: • Programming in Python or C
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e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with
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explore concepts form several topical fields such as: - Acoustics and interfacial fluid mechanics - Advanced wavefront control in complex environments - Experimental instrumentation (Python
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research qualities are in line with the faculty and university research policies . You act with attention to quality, integrity, creativity and cooperation. Proficiency in scientific programming (Python and
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, mathematics, or related scientific disciplines. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experience or capabilities in engineering design or manufacturing methods
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programming are desirable (MATLAB, python, C++ etc). Any experience or capabilities in engineering design or manufacturing methods would be advantageous. Eligibility and Application Due to funding restrictions
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methodological approaches Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the following is an asset: LCA tools, computational design, structural