574 master-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Nature Careers
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Artificial Intelligence with a primary focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including
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doctoral dissertation as well as your diploma or master's thesis Motivation letter (maximum 1 page) in which you also outline your ideas for coordination and further developing the Centre Proof of completed
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the Bachelor's and Master's programmes. In particular, the position requires pedagogical and practical skills and the associated knowledge of the link between competences acquired at university and concrete
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Theory Organizational Behavior Ability and interest to teach in undergraduate and master's programs in English are essential. Applicants need to have completed their PhD (or be very near completion when
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contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ). Your profile A Master's degree in Applied Mathematics, Computational Science, Physics, Engineering, or a closely related discipline
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, weekends, holidays) Maintains regular and predictable attendance. Minimum Education and/or Training: Master's degree in relevant field required: Bioethics, Nursing, Medicine, Law, or related (i.e. MDiv, MSW
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submit a letter of application, research statement, curriculum vitae and the names of three referees directly online: For more information: Randall Hayden, MD, Division Chief Clinical Pathology, Department
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genomics. Leverage a background in biochemistry and molecular biology, emphasizing signal transduction, cancer cell biology, cell cycle, or DNA repair. Collaborate with the Principal Investigator (PI
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Requirements Position 1: Chief Scientist in Microbial Resources Responsibilities: The candidate is expected to lead the strategic planning and implementation of the major agricultural microbiology facility
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Assistant professor in Analysis and Modelling of Nitrogen Cycling, Losses and Emissions in Croppi...
contributing specifically to the area of nitrogen flows, losses and emissions in agricultural systems, their quantification and modelling, as well as their relation to crop fertility and productivity. The main