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Vacatures geplaatst door Radboudumc

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Laatste vacatures

Postdoc 'Deep learning in digital gastrointestinal pathology'

The Computational Pathology Group of the Radboud University Medical Center, Nijmegen, The Netherlands, in collaboration with the Radboudumc Gastrointestinal pathology research group is offering a position for a postdoctoral researcher.

Diagnostic pathology involves microscopic evaluation of human tissues. Increasingly, microscopic images are digitized to support the diagnostic workflow. This rapidly growing field of 'digital pathology' also yields ample opportunities for development of CAD algorithms. State-of-the-art deep learning methods have recently been proven capable of supporting the diagnostic work of pathologists. We have now reached the point where such algorithms can be implemented in a routine clinical setting. For this project we are seeking a postdoctoral researcher.

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28-01-2020 Radboudumc
PhD candidate ‘Inhalatie antibiotica tegen niet-tuberculeuze mycobacteriën (NTM)’

Longinfecties door niet-tuberculeuze mycobacteriën (NTM) komen steeds meer voor. De optimale antibiotische behandeling van deze infecties is nog niet bekend, waardoor we slechts 50-60% van alle patiënten kunnen genezen. Het inhaleren van antibiotica lijkt een effectieve strategie, maar welke middelen en welke doseringen, dat is de vraag. Het doel van dit promotietraject is dan ook om op zoek te gaan naar de plaats van inhalatie-antibiotica in de therapie van NTM infecties. Je wordt deel van een hecht en enthousiast team dat op hoog niveau mycobacteriologie bedrijft.

De uitdaging in dit PhD traject bestaat uit twee delen. Het eerste is de uitbreiding van ons bestaande hollow fiber model met een module om inhalatie van antibiotica te kunnen simuleren. Het tweede deel is om met het hollow fiber model te gaan screenen welk antibioticum en welke dosering het meest effectief lijkt. Dit middel kan vervolgens getest worden in een klinische trial.

Belangrijke technieken voor dit project zijn: niet-tuberculeuze mycobacteriële infecties, farmacodynamiek, hollow fiber model, inhalatie antibiotica.

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28-01-2020 Radboudumc
Biostatistician clinical research

We offer an exciting and varied position in which you, as a research statistician or post-doctoral researcher with strong analytical and statistical skills, participate in the scientific design, analysis and implementation of clinical and epidemiological research on malaria. In the multi-disciplinary team of malaria researchers at Radboudumc, we conduct state of the art translational, clinical and epidemiological studies in controlled human infection models and populations naturally exposed to malaria in endemic settings. With the advertised post, we aim to strengthen our team with an enthusiastic researcher with strong analytical skills who is eager to support ongoing clinical (field) studies and develop her/his own research portfolio to push the boundaries of the field.

You will work together with biomedical researchers in the design and analysis of clinical trials, cluster-randomized trials and observational studies performed in the Netherlands and malaria endemic countries. You will be embedded in two departments: research activities will be embedded in the malaria research conducted at the department of Medical Microbiology in strong collaboration with the biostatistics research group at the department of Health Evidence. The research portfolio is very varied, and includes the evaluation of new vaccination strategies in clinical trials, all forms of epidemiological research and more fundamental research into the causes and mechanisms of disease. The statistician is expected to make an innovative contribution in design and analysis with a good understanding of the clinical background of the study and the biology of the malaria parasite. Inspired by these applications, you further develop the statistical methodology where necessary, which leads to your own research that is directly relevant to patient-related research. You participate in education for (bio) medical students at all levels.

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27-01-2020 Radboudumc
Bioinformatician for innovative genome diagnostics

Within the Department of Human Genetics, we implement and apply the latest genome analysis technologies for patient diagnostics including microarrays, exome and genome and long-read sequencing for a variety of genetic tests. We are looking for a bioinformatician to develop, validate and implement novel analysis methods for to identify human structural variation within large genomics datasets.

Tasks and responsibilities
You will work within a team of more than 10 bioinformaticians embedded in the Department of Human Genetics, responsible for the analysis of genetic data for patient diagnostics. Your work will consist of developing, validating and implementing novel algorithms for analyzing exome and genome data for the genetic diagnosis of patients.

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27-01-2020 Radboudumc
Bioinformatician for human genetics

Within the Department of Human Genetics, we implement and apply the latest genome analysis technologies for patient diagnostics and research including CNV-microarrays, exome and genome sequencing and long-read sequencing for a variety of genetic tests. As part of the Solve-RD project we are looking for a bioinformatician to support the analysis of large cohorts of exome, whole genome and long read sequencing datasets from patients with unsolved rare diseases. Solve-RD is a research project funded by the European Commission with the ambition to solve large numbers of rare diseases, for which a molecular cause is not known yet by sophisticated combined omics approaches, and to improve diagnostics of rare disease patients through contribution to, participation in and implementation of a "genetic knowledge web" which is based on shared knowledge about genes, genomic variants and phenotypes.

You work together with a team of more than 10 bioinformaticians embedded in the Department of Human Genetics responsible for the analysis of genetic data for patient diagnostics, as well as with bioinformatics researchers. Your work will consist of setting up analysis pipelines, running analyses on large cohorts and implementing novel bioinformatics tools for exome, genome and long read sequencing data.

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24-01-2020 Radboudumc