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Group Context: The Analytics and AI Group includes 11 researchers and 2 PhD students. Focus areas: hybrid AI, reinforcement learning, model predictive control, industrial applications (robots, wastewater
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for the Verbal, Quantitative and Analytical Writing sections of the GRE General or GMAT to consider your application. Incomplete sections or partial scores are not sufficient to consider your application. • TOEFL
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to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets, develop strong analytical skills, and collaborate with international
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as ProteinMPNN, RFdiffusion, and AlphaFold; prior hands-on use is beneficial but not required. Analytical chemistry: Experience or willingness to learn LC–MS, NMR, and UV–Vis for product and protein
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physiology, behavioral assessment, transcriptomics, and bioinformatics are advantageous for the position. Analytical skills and good knowledge about research methods relevant to the proposed project. It is
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and independent, with excellent time management skills Strong analytical, critical thinking and problem-solving abilities Resilient and persistent, ability to work constructively under pressure Strong
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management skills Strong analytical, critical thinking and problem-solving abilities Resilient and persistent, ability to work constructively under pressure Strong communication and collaborative skills, be
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for the position. We are looking for candidates who: Have excellent analytical and collaboration skills as well as an ability to work both independently and in teams Have a positive, balanced personality who can
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Ability to work independently as well as in teams. Work in a structured way, set goals and make plans to achieve them, result-oriented. Excellent analytical skills, analyze data, assess different