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and systems based on III-V and CMOS process technologies for signal amplification, conditioning, sampling, and wireless data transfer for sensing systems that operate in harsh environmental conditions
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technologies for signal amplification, conditioning, sampling, and wireless data transfer for sensing systems that operate in harsh environmental conditions, e.g., high temperature. Work duties The main duties
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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, and ERC Consolidator grant (DETOXPEST) and aims to establish a public, cross-species “pan-terminome” knowledge base of plant proteoforms and to uncover how conserved proteolytic processing
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of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application
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. The applicant should have a PhD in materials science, chemistry, physics, chemical engineering, or a related field. The following qualifications are considered particularly meritorious: experience in processing
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programming, physical modeling, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You
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, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You should be clear in your
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research. Teaching may also be included, but up to no more than 20% of working hours. Requirements: PhD degree or a foreign degree equivalent to a PhD degree in Chemistry, Physics, Materials or related
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postdoctoral researcher will be involved into discussions within a broad range of fields including computational, medicinal and organic chemistry. Requirements PhD degree in biochemistry or structural biology