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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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, laboratory automation (robotics), molecular biology, analytical chemistry, data science, and food science. The REFINES project is funded by the Innovation Foundation’s Grand Solutions program and is a
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
performance in refurbished metal parts and contribute to assessing their environmental impact, including data input for CO2e analysis tools. Expected start date and duration of employment This is a 1.5–year
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cilia biology as outline above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g. mass spectrometry-based proteomics, fluorescence microscopy, CRISRP-mediated
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areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software
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Postdoctoral Researcher Position in Digitalization of Metal Additive Manufacturing and CO2 Impact...
, and sustainability, we encourage you to apply! Your profile Applicants should hold a PhD in Mechanical Engineering, Materials Science, Data Science, or a related field. Experience with digitalization
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techniques (e.g. MEMS, compound semiconductors, e-beam lithography, MOVPE…) is highly desirable. Strong problem-solving skills, analytical thinking, and a passion for pushing the boundaries of technology
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: A PhD in Life Science, e.g., Molecular Biology. Expertise in functional genomics approaches and omics data analysis. Expertise and interest in gene-regulatory mechanisms. Motivation and strong
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, population and/or statistical genomics. You will join a multi-disciplinary team where you will contribute both new analytical frameworks and data analysis of both publicly available and in house generated data