134 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"Prof"-"FEMTO-ST" positions at Technical University of Denmark
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of cutting-edge observing programs. The position also encompasses high-quality teaching, supervision at all academic levels, and active participation in outreach initiatives that strengthen the department’s
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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gas chromatography. It is also probable that you will use CAD (e.g. for 3D printing), programming (e.g. Python) and MEMS chip design and fabrication. You should therefore have a desire to learn new
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qualifications The successful candidate will be expected to lead an ambitious, and internationally competitive research program that advances the frontiers of single-cell technologies, with a focus on disease
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in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We
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physics, mechanical engineering, or environmental modelling) Experience working with scientific or geospatial data Interest in understanding and working with scientific models written in Fortran Programming
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for phage display selections such as toxin purification from venoms. Requirements: Accepted for a MSc program at DTU. Previous working experience in a laboratory setting, e.g. in GMO class-1 labs is mandatory
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cleanroom processes, lithography, and metal deposition. Experience in magnetotransport measurements. Structured work attitude and ability to plan and carry out sophisticated research activities. Excellent
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating