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personalized medicine in historical, social and cultural contexts. Medicine is currently being thoroughly personalized. Work on new precise treatments and supporting infrastructures has generated considerable
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. During the project, you will work closely together with colleagues in theory who propose optimized designs for your devices, and both receive and provide help to fellow colleagues performing
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: Operator Algebras, Machine Learning, Analytic Number Theory, Automorphic Forms and Representation Theory Appl Deadline: 2025/10/10 11:59PM (posted 2025/09/10, listed until 2025/10/10) Position Description
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. Empirically, the research will focus on interactions among companies, civil society, and state actors to address plastic pollution. Situated within organization and management theory, the project aims
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, you will be asked to indicate, which of the areas listed on the page above are of interest to you. The list includes positions covering Operator Algebras, Machine Learning, Analytic Number Theory
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of the areas listed on the page above are of interest to you. The list includes positions covering Operator Algebras, Machine Learning, Analytic Number Theory, Automorphic Forms and Representation Theory
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theory and empirical studies of user experiences and the interplay between online and offline activities, combining philosophy, media studies (including game studies) and psychology. It is a collaborative
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Leonard Seabrooke in the Department of Organization. Seabrooke is responsible for the work package on Financial Transparency that is based in the Department of Organization and will mentor the Post-Doctoral
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and the co-PI at CBS is Professor Leonard Seabrooke in the Department of Organization. Seabrooke is responsible for the work package on Financial Transparency that is based in the Department
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for relaxed memory models; guarded cubical type theory; and Rocq formalizations. Tasks and Qualifications Applicants are expected to have a strong background in semantics, type theory, and Rocq formalization