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, cDNA, or DNA). Familiarity with machine learning, particularly in biological data contexts. Skills in signal processing, particularly time-series or nanopore signal data. Experience working in
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 12 days ago
working with Dr. Natalia Lahén on Computational Galaxy Evolution. The ERC-funded project ILMATAR focuses on the formation of globular clusters and the first galaxies in high-resolution hydrodynamical
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environment for reactors in serial production for operando studies Operando investigation of catalyst structures using high energy X-ray methods (scattering, spectroscopy, imaging) using in-house- and
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the field of polymer science or a comparable field of study Salary group E13 TVöD Temporary contract until 30.06.2028 Full-time / suitable as part-time employment The Bundesanstalt für Materialforschung und
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 14 days ago
for the analysis of GWAS, and time-series genomic and phenotypic (embryo size, gene expression) data. The position is available from the earliest possible starting date. Social benefits are basedon the German Civil
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
, handling both long-duration EEG time series from uncontrolled settings and heterogeneous group datasets. You should be comfortable with analyzing single-subject data, while also embracing variance across
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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datasets; alternatively, analyse InSAR time-series and GNSS datasets to quantify the distribution of crustal strain and identify potential zones of active faulting Combining structural geology, remote
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ecologist (m/f/d) with a background in community ecology, macroecology, metacommunities, and/or analysis of ecological time series. The applicant should have a strong track record of scientific publications