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analysis as well as bioinformatic analysis of microbial communities. Qualifications: The candidate should hold an MSc degree in biology, ecology, microbiology, plant pathology, or a related subject
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collegial and inclusive workplace are essential. Applicants should hold a MSc degree in ecology, botany, biogeography, environmental science, computational biology or related fields. Very good written and
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of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in scientific writing and communication skills very good knowledge
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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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. Qualifications: The candidate should hold an MSc degree in biology, ecology, microbiology, plant pathology, or a related subject. Extensive knowledge of microbial ecology and/or plant pathology and an interest in
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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the courses Advanced Mathematics 1–2 and/or Statistics at the TUM Campus Straubing. Your profile: Above average master’s degree in mathematics or (theoretical) computer science with a focus on discrete
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, Psychology or a related field excellent knowledge in AI and at least one of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in
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of results Completing the required PhD school courses and conducting an external research stay Teaching and supervision of MSc students Desired qualifications and skills: Curiosity and high motivation
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below? Are you our future colleague? Apply now! Education · You hold a MSc or equivalent in Environmental Science, Forestry, Civil and Environmental Engineering, or a related discipline in the