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Field
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Qualifications Education PhD in Chemistry, Materials Science, Biochemistry, Pharmacy, Biomedical engineering or equivalent. Experience and Technical Skills +3 years of experience in materials science, particularly
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, contact or collision sensors, proprioceptive arrays) on mobile platforms (wheeled/rolling and/or aerial). Designing and integrating a soft shell for protecting the robot from collisions. Developing methods
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as amended) and who meet the following requirements: 1. PhD in physical sciences. 2. Fulfilled formal requirements regarding the date of obtaining the doctoral degree in accordance with the regulations
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, equivalence or registration of the doctoral degree, under the terms of the applicable legislation. This formality must be completed by the signing date of the contract. 4.1. General admission requirements
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machine learning methods. Provide theoretical predictions to guide experiments, and atomic-scale physical understanding to experimental observations. Publishing findings in peer-reviewed journals
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science before applying for a further study (e.g., PhD). There are multiple opportunities for training in research methodology and theoretical knowledge. The Centre for Brain and Cognitive Development (CBCD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
of the monthly maintenance allowance is €1851,00, being the payment method an option of the Fellow by Wire Transfer/Check. Eligibility criteria Admission Requirements: to hold a PhD degree obtained in the 3 years
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in a collaborative research environment. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
in view of their physicochemical, nanotoxicological properties and safety aspects. You will be mainly in charge of: Method development and physicochemical characterization of these materials using our
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fidelity is experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library