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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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, and abroad. Required qualifications: The candidate should have a PhD in condensed matter physics, with strong background in high vacuum, cryogenics, electronics, transport and magnetic measurements
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will have or be close to completion of a PhD/DPhil in Health Economics or related quantitative discipline, OR have a Master’s degree in Health Economics* or related quantitative discipline along with
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural
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to other members of the group on health economic methodologies or procedures. About You You will have or be close to completion of a PhD/DPhil in Health Economics or related quantitative discipline, OR have
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Continuum mechanics Large deformation elasticity Design of mechanical devices Programming skills As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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generally associated with a PhD or MD, or an equivalent combination of education and progressively responsible work experience. Two or more years of experience in retinal cell biology, ocular genetics and/or
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. Safe and Certified Control for manipulation: Designing control algorithms that ensure passivity, Lyapunov stability, and safety for human-robot collaboration. Qualifications: Applicants must have a PhD
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-month, non-tenure track, appointment. Required Qualifications Earned PhD, ScD or DrPH in public health, epidemiology, biostatistics, statistics, mathematics, data sciences, or computer sciences, or a
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these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing