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Contribute to the supervision of students where appropriate Experience required : A recent PhD graduate who defended their thesis less than a year ago, with in-depth experience in mass spectrometry-based
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: Responsibilities include conducting agricultural field experiments, conducting laboratory analyses, analyzing data, and preparing peer-reviewed publications on the findings. Qualifications: A PhD or equivalent
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excellent opportunities to publish in high-impact journals, collaborate with leading European partners, supervise MSc and PhD students, and contribute to the development of innovative battery and charging
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the Division is expected. The position includes teaching obligations of c. 2 hours per week. Profile Doctoral degree/PhD in biology (or equivalent) Experience in the fields of Invasion Science, Vegetation
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, with a PhD in Natural Sciences/Life Sciences and a dissertation field of Biology. Experience in advanced analysis of fMRI (specifically, analysis of grid-like responses in the entorhinal cortex, resting
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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have a PhD in Biology, Bioinformatics or Biochemistry, preferentially with a focus on Plant Biology, Developmental Biology or Bioinformatics. Excellent English written and oral skills are required
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European partners, supervise MSc and PhD students, and contribute to the development of innovative battery and charging solutions to accelerate the energy transition to climate-neutral cities. The research
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to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. About you The successful applicant will hold a relevant PhD, together with experience in
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
across European life-science AI efforts. Requirements PhD in computational biology, bioinformatics, machine learning, or a related computational field Hands-on experience with foundation models / large